Understanding Gender and Organizations: A Literature Review

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literature review for gender equality

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Gender inequality has been one of the most indisputable facts of our society for years and it remains a major issue even today. There is inequality in social, economic and political realms and all three of them are interconnected. But it is still hard to find the root causes of the persistent gender-inequality in the society. Gender inequality in the corporate sector does not come as a surprise. It remains a major issue in boardrooms across the world with only 19 per cent of women occupying the boardroom seats in 2022. To the surprise of many, some of the world’s most advanced economies such as Japan have only 9 per cent women in the boardrooms. Against this background, the present study provides a comprehensive review of the literature on gendered nature of organizations. It identifies that the literature is predominantly etic in nature. Also, despite several decades of research on gender diversity, there is no systemic feminist theory around women and organizations. The present chapter will also try to understand the key concepts in order to understand the nature of gendered organization.

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Vartika (2022). Understanding Gender and Organizations: A Literature Review. In: Marques, J., Dhiman, S. (eds) Leading With Diversity, Equity and Inclusion. Future of Business and Finance. Springer, Cham. https://doi.org/10.1007/978-3-030-95652-3_11

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Gender stereotypes change outcomes: a systematic literature review

Journal of Humanities and Applied Social Sciences

ISSN : 2632-279X

Article publication date: 15 December 2021

Issue publication date: 19 October 2023

Even though researchers have discussed gender stereotype change, only a few studies have specifically projected outcomes or consequences. Hence, the main purpose of this study is to examine the impact of gender stereotype change concerning the different outcomes.

Design/methodology/approach

In achieving the purpose, the authors searched and reviewed current empirical knowledge on the outcomes of gender stereotype change in the Scopus and EBSCOhost databases from 1970 to 2020. The entire process was conducted through a systematic literature review methodology. The article selection criteria were executed using the PRISMA article selection flowchart steps, and 15 articles were included for the review.

The findings reveal that the outcomes from gender stereotype change research can be categorized mainly under the themes of “family and children,” “marriage” and “equality and women's employment.”

Research limitations/implications

The co-occurrence network visualization map reveals gaps in the existing literature. There may be more possible outcomes relating to the current realities, and more cross-cultural research is needed.

Practical implications

These outcomes provide some implications for policymakers.

Originality/value

Even though researchers have discussed gender stereotype change on its various outcomes or consequences, research is less. Hence, this study provides a synthesis of consequences and addresses the gaps in the area.

  • Gender stereotypes change
  • Systematic literature review

Priyashantha, K.G. , De Alwis, A.C. and Welmilla, I. (2023), "Gender stereotypes change outcomes: a systematic literature review", Journal of Humanities and Applied Social Sciences , Vol. 5 No. 5, pp. 450-466. https://doi.org/10.1108/JHASS-07-2021-0131

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Copyright © 2021, K.G. Priyashantha, A. Chamaru De Alwis and Indumathi Welmilla

Published in Journal of Humanities and Applied Social Sciences . Published by Emerald Publishing Limited. This article is published under the Creative Commons Attribution (CC BY 4.0) licence. Anyone may reproduce, distribute, translate and create derivative works of this article (for both commercial and non-commercial purposes), subject to full attribution to the original publication and authors. The full terms of this licence may be seen at http://creativecommons.org/licences/by/4.0/legalcode

Introduction

A society's beliefs about the appropriate roles for men and women are gender role attitudes, gender ideology ( Davis and Greenstein, 2009 ) or gender stereotypes ( Attanapola, 2004 ; Berridge et al. , 2009 ; Bosak et al. , 2018 ; Charlesworth and Banaji, 2021 ; De Silva and Priyashantha, 2014 ; Eagly et al. , 2020 ; Lopez-Zafra and Garcia-Retamero, 2021 ). Such beliefs are formed from the peoples' observations of the behavior of men and women in different social roles ( Priyashantha et al. , 2021b ). Particularly, when women or men demonstrate certain behavior more typical to different social roles more often than the opposite sex, such behaviors are believed to be the common traits relevant to men or women ( Eagly et al. , 2020 ; Eagly and Karau, 2002 ). Hence, men are believed to be assertive, independent, rational and decisive, while women are believed to be showing concern for others, warmth, helpfulness and nurturance ( Hoyt et al. , 2009 ). These attributes concerning men and women are referred to as agentic (masculine) and communal (feminine), respectively ( Abele, 2003 ). This agency and communion are then perceived as the fundamental motivators in men's and women's behaviors ( Bakan, 1966 ). However, researchers argue that these perceptions have changed in the contemporary world of work, which has been promoted by females' income-generating activities ( Eagly et al. , 2020 ). Social and economic developments took place, and United Nations initiatives (e.g. human rights, gender equality, nondiscrimination against women, women in development programs) ( Benería et al. , 2015 ) have backed this females' income generation in the mid-20th century in most countries ( Attanapola, 2004 ; Boehnke, 2011 ; Zosuls et al. , 2011 ). These female income generation activities have, in turn, resulted in changes in social role distribution where both men and women are now in multiple roles as parents, employees, employers, volunteers, friends, spouses, siblings, etc. ( Najeema, 2010 ; Perrigino et al. , 2021 ). Thus, peoples' various roles include women's work in men's roles and vice versa ( Blau and Kahn, 2006 ; Mergaert, 2012 ) while playing their traditional roles ( Eagly et al. , 2020 ). This trend has evolved the traditional gender role stereotypes into changing gender stereotypes during the last 50 years ( Blau and Kahn, 2006 ; Mergaert, 2012 ; Priyashantha et al. , 2021b ).

Even though it has been almost 50 years for research into changing gender stereotypes, there are scholarly arguments for the prevalence of traditional gender stereotypes ( Haines et al. , 2016 ; Rudman et al. , 2012 ; Rudman and Glick, 2001 ). Some theoretical bases and the prevalence of some cultures that value gender stereotyping further support these scholarly arguments. Meanwhile, there is an opinion that gender stereotyping violates human rights ( Tabassum and Nayak, 2021 ). Such an opinion is justified by the fact that gender stereotyping limits the capacity of women and men to develop their attributes or professional skills and make decisions about their lives and plans ( Office of the High Commissioner for Human Rights, 2014 ). Therefore, researchers have been highly interested in finding whether gender stereotypes have changed or not in societies ( Bosak et al. , 2018 ; Eagly et al. , 2020 ; Haines et al. , 2016 ; Lopez-Zafra and Garcia-Retamero, 2012 , 2021 ; Twenge, 1997a , b ; Ugwu, 2021 ). Instead, it is reported that there are more gender gaps in employment participation in some countries. If the gender stereotypes have changed, theoretically, there should be no such gender gap. Researching this question, the researchers have also been interested in how gender stereotypes change cross-culturally ( Boehnke, 2011 ; Constantin and Voicu, 2015 ; Diekman et al. , 2005 ; Diekman and Eagly, 2000 ; Lopez-Zafra and Garcia-Retamero, 2011 ). Accordingly, they have found that gender stereotypes have changed in Europe ( Berkery et al. , 2013 ; Boehnke, 2011 ; Garcia-Retamero et al. , 2011 ; Lopez-Zafra and Garcia-Retamero, 2012 ) and America ( Alfieri et al. , 1996 ; Beere et al. , 1984 ; Bem, 1974 ; Broverman et al. , 1970 ; Deaux and Lewis, 1984 ; Gill et al. , 1987 ; Lueptow et al. , 1995 ; Parelius, 1975 ; Spence and Hahn, 2016 ; Twenge, 1997a ; Twenge et al. , 2012 ; Zosuls et al. , 2011 ). In addition to that, researchers have found that the gender stereotype change has taken place in East Asia ( Boehnke, 2011 ), Africa ( Bosak et al. , 2018 ) and the Arab World ( Sikdar and Mitra, 2012 ) as well. Some global level studies also confirm that gender stereotype change has occurred in most countries with minor exceptions ( Brown, 1991 ; Charlesworth and Banaji, 2021 ; Constantin and Voicu, 2015 ; Williams and Best, 1990 ). We know that if something happened, this could have various outcomes related to the incident. Accordingly, as the gender stereotype change has also taken place, there could be multiple outcomes associated with it. However, to the best of our knowledge, there is minimal research on this subject matter ( Priyashantha et al. , 2021c ).

Therefore, with the expectation of finding the outcomes of gender stereotype change, we positioned the central question of the current study as, what is the impact of gender stereotype change? Thus, the present study systematically and quantitatively analyzes selected literature in the last 50 years to identify the outcomes of gender stereotypes and gaps in the prevailing knowledge.

Methodology

This article is positioned as Systematic Literature Review (SLR). The SLRs require a prior protocol to be developed to document the inclusion and exclusion of studies and analysis methods ( Pahlevan-Sharif et al. , 2019 ). We did a comprehensive literature search for this study, and a protocol was designed before the article search. There is a standard way of reporting the SLR known as Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA- Liberati et al. , 2009 ), which is highly recommended in Medicine. However, as there is no such framework in social sciences, authors who intend to conduct the SLR tend to use the narrative and arbitrary guidelines ( Pahlevan-Sharif et al. , 2019 ; Petticrew and Roberts, 2006 ). Instead, in this study, for the article selection process to be objective and systematic, we followed the PRISMA article selection flow chart steps to select the articles.

The PRISMA article selection flow diagram has four steps: identification, screening, eligibility and included, and we followed them in the article selection. The identifications stage includes database, search terms and search criteria. The databases were Scopus and Ebscohost for searching the articles. The search terms were “gender stereotype change” and “outcomes.” The search criteria or algorithm was developed by combining the terms with AND operative, and each search term was given similar words combined with OR operative. Accordingly, we retrieved 56 articles from Scopus and 68 Articles from EBSCOhost databases. Subsequently, the retrieved list containing the title, abstract, keywords, authors' names and affiliations, journal name, cited numbers and year, etc., was exported to a Microsoft Excel sheet. The duplicates were then searched and removed.

The screening stage includes eliminating the articles when their titles and abstracts do not meet the inclusion criteria ( Meline, 2006 ). The inclusion criteria for the current study were the “empirical studies” published in “academic journals” in “English” on “gender stereotype change” during the “1970–2020” period. Thus, the reason for selecting 1970 as the entry point was that gender stereotype change started in 1970, and it was extended to 2020 to include more studies for the review. Each author of the current research independently went through each title and abstract and eliminated the studies that did not meet the inclusion criteria. Notably, if there was any disagreement about elimination was resolved through discussion and consensus. Hence, we excluded 73 articles that were based on “review,” “qualitative,” “books,” “book chapters,” “magazines,” “conference papers,” “non-English” and “non-relevance to the current study's scope.” Then, the remaining 50 articles' full-text versions were retrieved for assessing their eligibility, which is the next step of the PRISMA flow diagram.

Since the articles have already been screened out up to this stage, evaluating their methodological reporting for eligibility checking is much better ( Meline, 2006 ). It is justifiable as we had taken an inclusion criterion as “empirical studies.” Thus, the evaluation areas may be the population, methodology, methods, design, context, etc., and can find the reasons for excluding the articles as “ambiguous methods” and “required original information from the author,” etc. ( Meline, 2006 ). Accordingly, we independently evaluated each article on such grounds. We identified some studies based on qualitative reviews, perspectives, ambiguous methods and some sought original information about the methodology from the authors. They all were excluded through our discussion and consensus. In total, we identified 35 papers as irrelevant at this stage, and finally, we selected 15 articles for the review. They are shown in Table 1 , and the process we followed for article selection is shown in Figure 1 .

The Microsoft Excel sheet was then modified, and the data in it were fed into the VOSviewer Software to run the keyword co-occurrence and term co-occurrence network visualization maps. That was to identify the core themes in the selected studies scientifically. Notably, the keyword co-occurrence is to identify the main areas touched from the keywords of the studies as the keywords of a research article denote its primary content on a particular field of investigation. Moreover, the term co-occurrence analysis is to identify more about studies than the keywords co-occurrence as it searches key terms reflected in the titles and abstracts of each article.

Results and analysis

This section is mainly organized to present the results of the SLR and analyze them. It primarily consists of two sections: descriptive analysis and literature classification.

Descriptive analysis

The year-wise article distribution is shown in Figure 2 . Even the 50 years considered for the review, the empirical studies reported on outcomes of gender stereotype change since 1998. Figure 2 shows that at least one empirical study has been conducted for each year during the 1998–2020 period. Moreover, there is a high frequency of studies in 2005, 2017 and 2018 years. Table 2 shows the methodological reporting of the studies. It reveals that studies have been conducted based on large samples drawn on panel surveys. The information ensures the validity of the selected studies for the review, as we had an inclusion criterion for selecting papers as “empirical studies.” Concerning the context under which studies were conducted ( Figure 3 ), the USA takes the led by having seven empirical studies published (1970–2020). Canada is in the second position having two studies during the period. Australia, China, the Netherlands, Norway, Spain and United Kingdom have conducted one study each.

Literature classification

The classification of results is critical in finding out actual work done on the objective set for the research ( Jabeen et al. , 2020 ; Priyashantha et al. , 2021a ). Since the main research objective of the current study was to identify the outcomes of the gender stereotype change, this section mainly classifies the results relating to that. As the keyword co-occurrence network analysis is suitable for identifying the critical areas on a particular investigation, we used it for our study to answer the study's central question. Figure 4 shows the output of it.

The size of the node denotes the number of occurrences in a keyword co-occurrences visualization map. Hence, the higher the number of occurrences, the larger the node's size. Thus, our analysis of the keyword co-occurrences found that “gender,” “employment” and “longitudinal research” denoted in larger nodes in the map ( Figure 4 ). It reveals that they are the keywords that have frequently occurred in studies. We know that “gender” is highly associated with gender stereotypes. It may be a justifiable reason why it happens so often in studies. “Employment” opportunities are also justifiable since it has been proven that employment opportunities have been a significant cause for gender stereotypes changes ( Eagly et al. , 2020 ). Moreover, as almost all the studies in the sample have adopted the “longitudinal research” design, the keyword “longitudinal research” has also fallen to the frequently occurring category. It demonstrates the methods used by the selected articles and their suitability to the current study.

Additionally, Figure 4 shows four main clusters denoted in different colors containing different keywords in each cluster. More specifically, Table 3 shows the number of terms in each cluster, indicating that changing gender stereotype outcomes varied by different areas of investigations. Grouping the keywords into one cluster is regarded as the keywords' likelihood to reflect similar topics. Hence, clusters one and two (as stated in Table 3 ) have the highest number of keywords and suggest that the topics highlighted in those are the centralized fields in gender stereotype change and outcome research. Thus, the central areas highlighted are “attitudes,” “cohabitation,” “fertility,” “life course,” “living arrangements,” “marriage,” “couples,” “employment,” “family economics,” “gender roles,” “longitudinal research” and “marital quality.”

Moreover, the term co-occurrence network visualization map created by the VOSviewer software ( Figure 5 ) is treated as more detailed than the keyword co-occurrence analysis. It provides an analysis that goes beyond the keywords as it further investigates the areas focused on in the title and abstracts of the studies. Hence, creating this type of map further identified the areas frequently investigated on gender stereotypes change outcomes. Accordingly, Figure 5 categorized the terms into three clusters in Blue, Red and Green. In the Blue cluster, there are two terms as “family” and “child.” A common theme can be formed for them as family and child-related outcomes. As we did a detailed search for the outcomes in each article, we could summarize them in Table 4 . Hence, we could extract different family and children-related outcomes from Table 4 . They are; “Family Role Overload and Stress” ( Duxbury et al. , 2018 ), “Subsequent School Enrollment” ( Cunningham et al. , 2005 ), “Fewer Children” ( Barber and Axinn, 1998 ), “Delay in Marital Parenthood” ( Cunningham et al. , 2005 ) and “Children's Convergence of Egalitarian Attitudes” ( Dawson et al. , 2016 ).

Concerning the family and children-related outcomes, Duxbury et al. (2018) have found that the “family role overload” of both husbands and wives was consequent in changing gender stereotype contexts. The sense of family role overload then becomes a strong predictor of couples' “perceived stress” ( Duxbury et al. , 2018 ). The perceived stress can undermine the health and well-being of people. The literature confirms that “psychological strains” and “disorders” ( Hébert et al. , 2017 ), “adverse impacts on the immune system” ( Barry et al. , 2020 ; Cohen et al. , 1999 ), “low quality of life,” “insomnia,” “burnout” ( Ribeiro et al. , 2018 ) and “family distress” ( Aryee et al. , 1999 ) resultant from the stress. When the stress becomes to distress level, there is a high possibility of causing chronic diseases and mortality ( Barry et al. , 2020 ). Therefore, these findings provide more implications for the policymakers to emphasize reducing those negative outcomes.

Apart from this, young adults' biases toward changing gender role attitudes can cause “subsequent school enrolments” ( Ciabattari, 2001 ; Cunningham et al. , 2005 ). It is severe, particularly among women, as they need to acquire knowledge to upgrade their employment status ( Cunningham et al. , 2005 ) and be independent ( Goldscheider and Goldscheider, 1993 ). However, later school enrollment may hinder performing family roles of adults as intensive time is devoted to education ( Marini, 1978 ). Moreover, women with changing attitudes toward gender roles are “less likely to have children” ( Barber and Axinn, 1998 ) and “delay in marital parenthood” ( Cunningham et al. , 2005 ). As a result, the future society could go into a severe crisis regarding population growth ( Barber and Axinn, 1998 ). It could be challenging to find people for growth prospects in economies. Therefore, the policymakers need to consider this seriously and try to overcome that. In the meantime, scholars need to focus on further research on this outcome to confirm this viewpoint further.

The last outcome of the family and children-related category is the “children's convergence of egalitarian attitudes” ( Dawson et al. , 2016 ). It indicates that gender stereotype changes could evolve over the generations and possibly consequent the different outcomes of gender stereotype change. It implies that more research on this area is required to find more associated outcomes.

The cluster in Red ( Figure 5 ) has categorized the terms as; “Role Attitude,” “Attitudes,” “Cohabitation,” “Marriage” and “Consequences.” Out of them, the “role attitudes,” “attitudes” and “consequences” are the general search terms related to the concept of gender stereotype change outcomes, and hence, we ignored them for review. However, the remaining two terms, “marriage” and “cohabitation,” were considered for the review. Since these terms are related to marriage, we themed them as “marriage-related.” Hence, marriage-related outcomes we found were “Increased Cohabitation, Low Marriage Rate” ( Barber and Axinn, 1998 ), “Delay in Marriage” ( Cunningham et al. , 2005 ), “Low Satisfaction,” “Low Relationship Quality,” “Low Stability in Marital Relationships” ( Blom and Hewitt, 2020 ) and “Attitude Convergence in Marriage” ( Kalmijn, 2005 ).

The “increased cohabitation,” “low marriage rate” ( Barber and Axinn, 1998 ) and “delay in marriage” ( Cunningham et al. , 2005 ) can subsequently impact the population growth negatively ( Barber and Axinn, 1998 ). If such outcomes exist over time, it could be a barrier to the progression of societies. However, another finding reveals that gender stereotype change increases childbirth to single parents in recent decades ( Cunningham et al. , 2005 ). Therefore, it is difficult to directly conclude that such outcomes negatively affect population growth or societal progression. More research is needed to find the associated outcomes of these consequences so that reasonable judgments can be made whether such outcomes generate more negative or positive effects on the population, society or any other.

Moreover, in marital relationships, Australian-related research has found that “low satisfaction,” “low relationship quality” and “low stability” ( Blom and Hewitt, 2020 ) were consequent from the gender stereotype changes. All of which resemble negative outcomes by their surface nature. However, another finding reveals that “attitude convergence in marriage” ( Kalmijn, 2005 ) occurred due to gender stereotype changes. It is contrary to the previous finding, which is a positive outcome by its surface nature.

Most importantly, for these types of outcomes, positivity or negativity is dependent on cultural values. The negative outcomes as “low satisfaction,” “low relationship quality” and “low stability” may be very accurate for the cultures which value male breadwinner family structures ( Blom and Hewitt, 2020 ). However, more opposing consequences, like “attitude convergence in marriage” ( Kalmijn, 2005 ), can be found in cultures with more egalitarian values like Nordic countries ( Vitali and Arpino, 2016 ). Hence, in total, the positivity or negativity of outcomes is a matter of societal and cultural values. Therefore, generalizing interpretations about the positivity or negativity of each outcome is suitable with more cross-cultural research. Similarly, further research is needed regarding the associated outcomes of each of these outcomes.

Finally, the Green cluster has the terms as; “Outcomes,” “Gender Differences,” “Gender Egalitarianism,” “Work” and “Women.” As in other clusters, we had a common search term, “outcome,” in this cluster, and we ignored it. Except that, the terms “gender difference” and “gender egalitarianism” seem to represent a common theme of “equality.” The remaining terms “work” and “women” are merged, and a theme can be given as “women's employment.” Thus, this cluster is then characterized by the theme of “equality and women employments.” Specifically, under this cluster, we found the outcomes of “Reduction of Gender Role Stereotyping” ( Dawson et al. , 2016 ), “Egalitarian Essentialism” ( Cotter et al. , 2011 ), “Non-Difference in Men or Women for Work-Life” ( Lyness and Judiesch, 2014 ) and “Gender Differences in Personality Cross-Culturally” ( Schmitt et al. , 2017 ), and they can be related to the equality. Similarly, the “Women's Full-Time Employment,” “Women's Independent Living” ( Cunningham et al. , 2005 ), “More Working Hours” and “More Income for Women” ( Corrigall and Konrad, 2007 ) and “Increased Entrepreneurial Intention of Women” ( Perez-Quintana et al. , 2017 ) were found, and they can be categorized under the theme of women's employment. Moreover, the outcomes of the “Reduction of the Women's Disadvantage in Entering Male-Dominated Occupations” ( He and Zhou, 2018 ) and “Economic Rationality of Females” ( Onozaka and Hafzi, 2019 ) are also categorized to the theme of “women's employment.”

Thus, the “equality” related outcomes in the “equality and women's employment,” the “reduction of traditional gender role stereotyping” ( Dawson et al. , 2016 ), “egalitarian essentialism” ( Cotter et al. , 2011 ) and “non-difference in men or women for work-life” ( Lyness and Judiesch, 2014 ) may change in different cultural contexts. As we have various cultural contexts that value either traditional gender norms or gender stereotype change, more cross-cultural research is needed to interpret such outcomes. Moreover, one cross-cultural study found that a “gender difference in personality” is consequenced even though people's gender stereotype attitudes have already changed ( Schmitt et al. , 2017 ). Therefore, this finding confirms the overall behavioral diversity of people, including diversity in gender role behaviors, although the equality of gender roles is emphasized.

Concerning women's employment-related outcomes, such as increases in “women's full-time employment opportunities” ( Cunningham et al. , 2005 ), “reduction of women's disadvantage in entering male-dominated occupations” ( He and Zhou, 2018 ), “more working hours and more income for women” ( Corrigall and Konrad, 2007 ) and “their increased entrepreneurial intention” ( Perez-Quintana et al. , 2017 ), women's “economic rationality” ( Onozaka and Hafzi, 2019 ) reveals the women's improved economic status. Moreover, the findings like increased “women's independent living” ( Cunningham et al. , 2005 ) represent their independent decision-making. The positive side of these is that they reduce the gender gap in employment participation and the ultimate contribution to economic growth. However, since we have different cultures worldwide, more cross-cultural research is needed to generalize this. As discussed under “family and children” related outcomes, the negative side of women's employment-related outcomes is the missing family responsibilities or adverse health effects and low reproductivity. Therefore, this provides an implication for policymakers to avoid those harmful effects. In the meantime, as the socialization forces are diverse over time ( Brown and Stone, 2016 ), researchers can further test whether these types of outcomes exist over time.

In the network visualization map in Figure 5 , the circles' size denotes the number of occurrences. It suggests that the higher the number of occurrences, the larger the circle's size. Accordingly, the term “women” is then considered to be the frequently used term. It implies that the women-related outcomes should have been investigated repeatedly. However, even the term “women” has been found to be co-occurred many times in this study, our detailed analysis of each article found that the different women-related outcomes have been investigated only once. Instead, the other outcomes related to terms represented by the nodes in Figure 5 have not been co-occurred or tested frequently in the studies. Hence, overall, more research is needed to be a well-established knowledge on each outcome of stereotype change found in this study.

Gender stereotype change has been given scholarly attention since the 1970s. Traditional gender stereotypes have evolved into gender stereotype change or egalitarian gender stereotypes with females' participation in employment ( Brandth et al. , 2017 ; Mergaert et al. , 2013 ). This gender stereotype change has created various outcomes in various areas. This SLR studied the outcomes of gender stereotype change in the literature during the 1970–2020 period. The literature search was conducted using the Scopus and EBSCOhost databases. Empirical studies were mainly focused on selecting the articles. Initially, we extracted 124 articles for screening. After assessing their eligibility, we finally selected 15 articles for the review. They were subjected to the keyword and term co-occurrence analysis for finding the themes of gender stereotypes change outcomes.

The findings reveal that outcomes of gender stereotypes change are under the main themes of “family and children,” “marriage” and “equality and women's employment.” There are very few studies found relating to the “family and children” related outcomes. They are “Family Role Overload and Stress” ( Duxbury et al. , 2018 ), “Fewer Children” ( Barber and Axinn, 1998 ), “Later School Enrollment” ( Cunningham et al. , 2005 ) and “Children's Convergence of Egalitarian Attitudes” ( Dawson et al. , 2016 ). Of these results, it was found that all other results, except for the convergence of children's egalitarian attitudes ( Dawson et al. , 2016 ), had some adverse effects, such as neglect of family responsibilities and negative effects on health and female fertility. They provide implications to policymakers to ovoid those harmful effects. Moreover, more research is needed to test whether these outcomes exist over time since the socialization forces are diverse ( Brown and Stone, 2016 ).

Compared to the “family and children” related outcomes, more outcomes have found “marriage” associated outcomes. They are “Increase Cohabitation,” “Low Marriage Rate” ( Barber and Axinn, 1998 ), “Delay in Marriage” ( Cunningham et al. , 2005 ), “Attitude Convergence in Marriage” ( Kalmijn, 2005 ), “Low Satisfaction,” “Lower Relationship Quality” and “Low Stability in Marital Relationships” ( Blom and Hewitt, 2020 ). “The Increase in Cohabitation,” “Low Marriage Rate” ( Barber and Axinn, 1998 ) and “Delay in Marriage” ( Cunningham et al. , 2005 ) can further negatively impact the population growth ( Barber and Axinn, 1998 ). However, more research is needed regarding these outcomes and their associated outcomes to generalize whether they generate more positive or negative consequences. Moreover, concerning all the marriage-related outcomes, their positivity or negativity cannot be determined from their surface interpretation. More research is needed to be done on the associated outcomes of each of these outcomes. Moreover, as the marriage-related outcomes are subjected to cultural perspectives on gender roles, we cannot determine the positivity or negativity of such outcomes without doing more cross-cultural studies. Therefore, more cross-cultural research is needed.

Compared to the family and children and marriage-related outcomes, more outcomes were found relating to equality and women's employment-related category. For the analysis purposes, we further categorized them into two sub-themes as equality and women's employment-related. The “equality”-related outcomes found were; “Reduction of Traditional Gender Role Stereotyping” ( Dawson et al. , 2016 ), “Egalitarian Essentialism” ( Cotter et al. , 2011 ), “Non-Difference in Men or Women for Work-Life” ( Lyness and Judiesch, 2014 ), “Gender Difference in Personality” ( Schmitt et al. , 2017 ). We believe that these outcomes may change in different cultural contexts. Hence, more cross-cultural research is needed to make generalizations. Similarly, the women's employment-related outcomes found were: increases in “Women's Full-Time Employment Opportunities” ( Cunningham et al. , 2005 ), “Reduction of Women's Disadvantage in Entering Male-Dominated Occupations” ( He and Zhou, 2018 ), “More Working Hours and More Income for Women” ( Corrigall and Konrad, 2007 ), “Women's Increased Entrepreneurial Intention” ( Perez-Quintana et al. , 2017 ), “Women's Independent Living” ( Cunningham et al. , 2005 ) and their “Economic Rationality” ( Onozaka and Hafzi, 2019 ). These outcomes reveal the improved economic status and independent living of females. These can help reduce the employment gender gap that ultimately contributes to economic growth. For this also, more cross-cultural research is needed to make more generalizations. It is proven in this study that family responsibilities are missed and have adverse effects on health and reproductivity when females are involved in employment opportunities. Therefore, the outcomes provide an implication for the policymakers to ovoid those harmful effects. Moreover, more research is needed to test whether these outcomes exist over time since the socialization forces are diverse ( Brown and Stone, 2016 ).

Practicality and research implications

There are implications for future researchers from the findings of the current research. Although the 50 years considered for reviewing the literature on gender stereotype outcomes, we were able to find very few outcomes from only 15 studies conducted on an empirical basis. Therefore, more research is needed on this area. More specifically, gender stereotyping is coupled with cultural values on gender norms. Mainly, we have cultures on gender role stereotyping and gender role egalitarianism. Therefore, future researches need to focus more research on a cross-cultural basis. Moreover, since the socialization forces are diverse, complex and continuously evolving, more research is essential to have a well-established knowledge of gender stereotype change outcomes.

Additionally, the outcome of “Family Role Overload and Stress” ( Duxbury et al. , 2018 ) has a high possibility to create more health risks to the employees whose gender role attitude changed. Moreover, “Fewer Children” ( Barber and Axinn, 1998 ), “Later School Enrollment” ( Cunningham et al. , 2005 ), “Increase in Cohabitation,” “Low Marriage Rate” ( Barber and Axinn, 1998 ) and “Delay in Marriage” ( Cunningham et al. , 2005 ), and all the outcomes of women employment-related category can negatively impact on population growth. Therefore, they provide implications to policymakers to ovoid those harmful effects.

PRISMA article selection flow diagram

Year-wise research article distribution

Country-wise article publication

Keywords co-occurrence network visualization map

Term co-occurrence network visualization map

Included articles for the review

AuthorTitle
Becoming a female-breadwinner household in Australia: Changes in relationship satisfaction
(2017)The influence of sex and gender-role orientation in the decision to become an entrepreneur
(2015)How exposure to literary genres relates to attitudes toward gender roles and sexual behavior
(2011)The end of the gender revolution? Gender role attitudes from 1977 to 2008
Gender role attitudes and careers: A longitudinal study
Gender role attitudes and marriage among young women
Attitude alignment in marriage and cohabitation: The case of sex-role attitudes
(2016)Associations between parental gendered attitudes and behaviours and children's gender development across middle childhood
(2017)Personality and gender differences in global perspective
Household production in an egalitarian society
Gender egalitarianism and work-life balance for managers: Multisource perspectives in 36 countries
Exploring the microfoundations of the gender equality peace hypothesis
Gender difference in early occupational attainment: The roles of study field, gender norms, and gender attitudes
(2018)Too much to do, too little time: Role overload and stress in a multi-role environment
(2005)Reciprocal relationships between attitudes about gender and social contexts during young adulthood
Authors created (2021)

AuthorMethodSampleAnalysis techniques
General Panel Survey11,986Regression
(2017)Graduate Student Sample760Regression and Correlations
(2015)General Panel Survey368Regression and Correlation
(2011)General Panel Survey22,770Regression
Graduate Student Panel Survey2,400Regression
General Panel Survey15,668Regression
General Panel Survey1,416Regression
(2016)College Student Panel Survey106Regression
(2017)Cross-Cultural Study55 NationsRegression
General Panel Survey14,884Regression
Cross-Cultural Study36 NationsRegression
General Panel Survey1,000Regression
College Student Panel Survey4,759Regression
(2018)General Panel Survey4,947Regression
(2005)General Panel Survey1,113Regression
Authors Created (2021)

ClusterNo of itemsItems
16Attitudes, cohabitation, fertility, life course, living arrangements, marriage
26Couples, employment, family economics, gender roles, longitudinal research, marital quality
35Gender, multi-role environment, role overload, stress, work, and family
42Career outcomes, gender attitudes
Authors Created (2021)

AuthorConsequences/outcomesMeaning
Low marriage rate, women less likely to have children and increased cohabitation
Attitude convergence in marriagePartners attitude alignment
Convergence the attitudes in marriage Partners
(2005) Increase subsequent school enrolment, women's full-time employment and independent living and delay marriage and marital parenthood
More working hours and more income for womenWomen's more working hours and more income. Having fewer children
(2011)Egalitarian essentialismNew cultural concerns, such as intensive parenting and career stress
Nondifference in men or women for work lifeNondifference in work life balance for men and women
(2015)Reduce gender role stereotypingEgalitarian gender role attitude reduces the traditional gender role stereotypes
(2016)Children's convergence of egalitarian attitudesFathers' egalitarian gender role attitudes predicted child egalitarian gender role attitudes and outcomes
(2017)Increased entrepreneurial intention of womenAndrogynous gender role orientation is most influential on entrepreneurial intention
(2017)Gender differences in personality cross-culturallyGender differences in personality – Big Five traits, Dark Triad traits, self-esteem, subjective well-being, depression and values – are clearly more significant in cultures with more egalitarian gender roles
Reduce conflict mindset (increase peace mindset)Less support for the use of force to achieve traditional security objectives (Pease Increase)
Reduce the women's disadvantage in entering females in male-dominated occupationsEgalitarian gender attitudes at job entry can partially moderate women's disadvantage in entering male-dominated occupations
(2018)Work and family role overload and stressResults in work and family role overload and stress of
Economic rationality of femalesFemales acting on economic rationality rather than gender norm
Low satisfactionLow satisfaction to both men and women
Lower relationship quality and stability in marital relationshipsLower relationship quality and low stability in marital relationships when female breadwinner context

Source(s): Authors created (2021)

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Acknowledgements

Funding : No funding was available for this research

Authors Contributions : All authors contributed to the study conception, design, material preparation, data collection and analysis. All versions of drafts of the manuscript were written by Author 1, and other authors commented and revised. All authors read and approved the final manuscript.

Availability: Data collected during the current study are not publicly available. However, they can be available from the corresponding author upon reasonable request.

Conflicts of Interest : On behalf of all authors, the corresponding author states that there is no conflict of interest.

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Linking gender differences with gender equality: A systematic-narrative literature review of basic skills and personality

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There is controversy regarding whether gender differences are smaller or larger in societies that promote gender equality highlighting the need for an integrated analysis. This review examines literature correlating, on a national level, gender differences in basic skills-mathematics, science (including attitudes and anxiety), and reading-as well as personality, to gender equality indicators. The aim is to assess the cross-national pattern of these differences when linked to measures of gender equality and explore new explanatory variables that can shed light on this linkage. The review was based on quantitative research relating country-level measures of gender differences to gender equality composite indices and specific indicators. The findings show that the mathematics gender gap from the PISA and TIMMS assessments, is not linked to composite indices and specific indicators, but gender differences are larger in gender-equal countries for reading, mathematics attitudes, and personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests). Research on science and overall scores (mathematics, science, and reading considered together) is inconclusive. It is proposed that the paradox in reading results from the interrelation between basic skills and the attempt to increase girls' mathematics abilities both acting simultaneously while the paradox in mathematics attitudes might be explained by girls being less exposed to mathematics than boys. On the other hand, a more nuanced understanding of the gender equality paradox in personality is advanced, in which a gene-environment-cultural interplay accounts for the phenomenon. Challenges for future cross-national research are discussed.

Keywords: basic skills; gender differences; gender equality; gender equality paradox; personality.

Copyright © 2023 Balducci.

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Twenty years of gender equality research: A scoping review based on a new semantic indicator

Paola belingheri.

1 Dipartimento di Ingegneria dell’Energia, dei Sistemi, del Territorio e delle Costruzioni, Università degli Studi di Pisa, Largo L. Lazzarino, Pisa, Italy

Filippo Chiarello

Andrea fronzetti colladon.

2 Department of Engineering, University of Perugia, Perugia, Italy

3 Department of Management, Kozminski University, Warsaw, Poland

Paola Rovelli

4 Faculty of Economics and Management, Centre for Family Business Management, Free University of Bozen-Bolzano, Bozen-Bolzano, Italy

Associated Data

All relevant data are within the manuscript and its supporting information files. The only exception is the text of the abstracts (over 15,000) that we have downloaded from Scopus. These abstracts can be retrieved from Scopus, but we do not have permission to redistribute them.

Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which could guide scholars in their future research. Our paper offers a scoping review of a large portion of the research that has been published over the last 22 years, on gender equality and related issues, with a specific focus on business and economics studies. Combining innovative methods drawn from both network analysis and text mining, we provide a synthesis of 15,465 scientific articles. We identify 27 main research topics, we measure their relevance from a semantic point of view and the relationships among them, highlighting the importance of each topic in the overall gender discourse. We find that prominent research topics mostly relate to women in the workforce–e.g., concerning compensation, role, education, decision-making and career progression. However, some of them are losing momentum, and some other research trends–for example related to female entrepreneurship, leadership and participation in the board of directors–are on the rise. Besides introducing a novel methodology to review broad literature streams, our paper offers a map of the main gender-research trends and presents the most popular and the emerging themes, as well as their intersections, outlining important avenues for future research.

Introduction

The persistent gender inequalities that currently exist across the developed and developing world are receiving increasing attention from economists, policymakers, and the general public [e.g., 1 – 3 ]. Economic studies have indicated that women’s education and entry into the workforce contributes to social and economic well-being [e.g., 4 , 5 ], while their exclusion from the labor market and from managerial positions has an impact on overall labor productivity and income per capita [ 6 , 7 ]. The United Nations selected gender equality, with an emphasis on female education, as part of the Millennium Development Goals [ 8 ], and gender equality at-large as one of the 17 Sustainable Development Goals (SDGs) to be achieved by 2030 [ 9 ]. These latter objectives involve not only developing nations, but rather all countries, to achieve economic, social and environmental well-being.

As is the case with many SDGs, gender equality is still far from being achieved and persists across education, access to opportunities, or presence in decision-making positions [ 7 , 10 , 11 ]. As we enter the last decade for the SDGs’ implementation, and while we are battling a global health pandemic, effective and efficient action becomes paramount to reach this ambitious goal.

Scholars have dedicated a massive effort towards understanding gender equality, its determinants, its consequences for women and society, and the appropriate actions and policies to advance women’s equality. Many topics have been covered, ranging from women’s education and human capital [ 12 , 13 ] and their role in society [e.g., 14 , 15 ], to their appointment in firms’ top ranked positions [e.g., 16 , 17 ] and performance implications [e.g., 18 , 19 ]. Despite some attempts, extant literature reviews provide a narrow view on these issues, restricted to specific topics–e.g., female students’ presence in STEM fields [ 20 ], educational gender inequality [ 5 ], the gender pay gap [ 21 ], the glass ceiling effect [ 22 ], leadership [ 23 ], entrepreneurship [ 24 ], women’s presence on the board of directors [ 25 , 26 ], diversity management [ 27 ], gender stereotypes in advertisement [ 28 ], or specific professions [ 29 ]. A comprehensive view on gender-related research, taking stock of key findings and under-studied topics is thus lacking.

Extant literature has also highlighted that gender issues, and their economic and social ramifications, are complex topics that involve a large number of possible antecedents and outcomes [ 7 ]. Indeed, gender equality actions are most effective when implemented in unison with other SDGs (e.g., with SDG 8, see [ 30 ]) in a synergetic perspective [ 10 ]. Many bodies of literature (e.g., business, economics, development studies, sociology and psychology) approach the problem of achieving gender equality from different perspectives–often addressing specific and narrow aspects. This sometimes leads to a lack of clarity about how different issues, circumstances, and solutions may be related in precipitating or mitigating gender inequality or its effects. As the number of papers grows at an increasing pace, this issue is exacerbated and there is a need to step back and survey the body of gender equality literature as a whole. There is also a need to examine synergies between different topics and approaches, as well as gaps in our understanding of how different problems and solutions work together. Considering the important topic of women’s economic and social empowerment, this paper aims to fill this gap by answering the following research question: what are the most relevant findings in the literature on gender equality and how do they relate to each other ?

To do so, we conduct a scoping review [ 31 ], providing a synthesis of 15,465 articles dealing with gender equity related issues published in the last twenty-two years, covering both the periods of the MDGs and the SDGs (i.e., 2000 to mid 2021) in all the journals indexed in the Academic Journal Guide’s 2018 ranking of business and economics journals. Given the huge amount of research conducted on the topic, we adopt an innovative methodology, which relies on social network analysis and text mining. These techniques are increasingly adopted when surveying large bodies of text. Recently, they were applied to perform analysis of online gender communication differences [ 32 ] and gender behaviors in online technology communities [ 33 ], to identify and classify sexual harassment instances in academia [ 34 ], and to evaluate the gender inclusivity of disaster management policies [ 35 ].

Applied to the title, abstracts and keywords of the articles in our sample, this methodology allows us to identify a set of 27 recurrent topics within which we automatically classify the papers. Introducing additional novelty, by means of the Semantic Brand Score (SBS) indicator [ 36 ] and the SBS BI app [ 37 ], we assess the importance of each topic in the overall gender equality discourse and its relationships with the other topics, as well as trends over time, with a more accurate description than that offered by traditional literature reviews relying solely on the number of papers presented in each topic.

This methodology, applied to gender equality research spanning the past twenty-two years, enables two key contributions. First, we extract the main message that each document is conveying and how this is connected to other themes in literature, providing a rich picture of the topics that are at the center of the discourse, as well as of the emerging topics. Second, by examining the semantic relationship between topics and how tightly their discourses are linked, we can identify the key relationships and connections between different topics. This semi-automatic methodology is also highly reproducible with minimum effort.

This literature review is organized as follows. In the next section, we present how we selected relevant papers and how we analyzed them through text mining and social network analysis. We then illustrate the importance of 27 selected research topics, measured by means of the SBS indicator. In the results section, we present an overview of the literature based on the SBS results–followed by an in-depth narrative analysis of the top 10 topics (i.e., those with the highest SBS) and their connections. Subsequently, we highlight a series of under-studied connections between the topics where there is potential for future research. Through this analysis, we build a map of the main gender-research trends in the last twenty-two years–presenting the most popular themes. We conclude by highlighting key areas on which research should focused in the future.

Our aim is to map a broad topic, gender equality research, that has been approached through a host of different angles and through different disciplines. Scoping reviews are the most appropriate as they provide the freedom to map different themes and identify literature gaps, thereby guiding the recommendation of new research agendas [ 38 ].

Several practical approaches have been proposed to identify and assess the underlying topics of a specific field using big data [ 39 – 41 ], but many of them fail without proper paper retrieval and text preprocessing. This is specifically true for a research field such as the gender-related one, which comprises the work of scholars from different backgrounds. In this section, we illustrate a novel approach for the analysis of scientific (gender-related) papers that relies on methods and tools of social network analysis and text mining. Our procedure has four main steps: (1) data collection, (2) text preprocessing, (3) keywords extraction and classification, and (4) evaluation of semantic importance and image.

Data collection

In this study, we analyze 22 years of literature on gender-related research. Following established practice for scoping reviews [ 42 ], our data collection consisted of two main steps, which we summarize here below.

Firstly, we retrieved from the Scopus database all the articles written in English that contained the term “gender” in their title, abstract or keywords and were published in a journal listed in the Academic Journal Guide 2018 ranking of the Chartered Association of Business Schools (CABS) ( https://charteredabs.org/wp-content/uploads/2018/03/AJG2018-Methodology.pdf ), considering the time period from Jan 2000 to May 2021. We used this information considering that abstracts, titles and keywords represent the most informative part of a paper, while using the full-text would increase the signal-to-noise ratio for information extraction. Indeed, these textual elements already demonstrated to be reliable sources of information for the task of domain lexicon extraction [ 43 , 44 ]. We chose Scopus as source of literature because of its popularity, its update rate, and because it offers an API to ease the querying process. Indeed, while it does not allow to retrieve the full text of scientific articles, the Scopus API offers access to titles, abstracts, citation information and metadata for all its indexed scholarly journals. Moreover, we decided to focus on the journals listed in the AJG 2018 ranking because we were interested in reviewing business and economics related gender studies only. The AJG is indeed widely used by universities and business schools as a reference point for journal and research rigor and quality. This first step, executed in June 2021, returned more than 55,000 papers.

In the second step–because a look at the papers showed very sparse results, many of which were not in line with the topic of this literature review (e.g., papers dealing with health care or medical issues, where the word gender indicates the gender of the patients)–we applied further inclusion criteria to make the sample more focused on the topic of this literature review (i.e., women’s gender equality issues). Specifically, we only retained those papers mentioning, in their title and/or abstract, both gender-related keywords (e.g., daughter, female, mother) and keywords referring to bias and equality issues (e.g., equality, bias, diversity, inclusion). After text pre-processing (see next section), keywords were first identified from a frequency-weighted list of words found in the titles, abstracts and keywords in the initial list of papers, extracted through text mining (following the same approach as [ 43 ]). They were selected by two of the co-authors independently, following respectively a bottom up and a top-down approach. The bottom-up approach consisted of examining the words found in the frequency-weighted list and classifying those related to gender and equality. The top-down approach consisted in searching in the word list for notable gender and equality-related words. Table 1 reports the sets of keywords we considered, together with some examples of words that were used to search for their presence in the dataset (a full list is provided in the S1 Text ). At end of this second step, we obtained a final sample of 15,465 relevant papers.

Keyword setExamples of searched words
GenderBride
Daughter ,
Female ,
Femini , ,
Girl
Lady ,
Maid
Mother , ,
Queen
Widow
Wife ,
Woman ,
EqualityBias , ,
Diversity ,
Empower , ,
Equality , ,
Equity , ,
Homeworking , ,
Inclusion , ,
Quota
Stereotype , ,

Text processing and keyword extraction

Text preprocessing aims at structuring text into a form that can be analyzed by statistical models. In the present section, we describe the preprocessing steps we applied to paper titles and abstracts, which, as explained below, partially follow a standard text preprocessing pipeline [ 45 ]. These activities have been performed using the R package udpipe [ 46 ].

The first step is n-gram extraction (i.e., a sequence of words from a given text sample) to identify which n-grams are important in the analysis, since domain-specific lexicons are often composed by bi-grams and tri-grams [ 47 ]. Multi-word extraction is usually implemented with statistics and linguistic rules, thus using the statistical properties of n-grams or machine learning approaches [ 48 ]. However, for the present paper, we used Scopus metadata in order to have a more effective and efficient n-grams collection approach [ 49 ]. We used the keywords of each paper in order to tag n-grams with their associated keywords automatically. Using this greedy approach, it was possible to collect all the keywords listed by the authors of the papers. From this list, we extracted only keywords composed by two, three and four words, we removed all the acronyms and rare keywords (i.e., appearing in less than 1% of papers), and we clustered keywords showing a high orthographic similarity–measured using a Levenshtein distance [ 50 ] lower than 2, considering these groups of keywords as representing same concepts, but expressed with different spelling. After tagging the n-grams in the abstracts, we followed a common data preparation pipeline that consists of the following steps: (i) tokenization, that splits the text into tokens (i.e., single words and previously tagged multi-words); (ii) removal of stop-words (i.e. those words that add little meaning to the text, usually being very common and short functional words–such as “and”, “or”, or “of”); (iii) parts-of-speech tagging, that is providing information concerning the morphological role of a word and its morphosyntactic context (e.g., if the token is a determiner, the next token is a noun or an adjective with very high confidence, [ 51 ]); and (iv) lemmatization, which consists in substituting each word with its dictionary form (or lemma). The output of the latter step allows grouping together the inflected forms of a word. For example, the verbs “am”, “are”, and “is” have the shared lemma “be”, or the nouns “cat” and “cats” both share the lemma “cat”. We preferred lemmatization over stemming [ 52 ] in order to obtain more interpretable results.

In addition, we identified a further set of keywords (with respect to those listed in the “keywords” field) by applying a series of automatic words unification and removal steps, as suggested in past research [ 53 , 54 ]. We removed: sparse terms (i.e., occurring in less than 0.1% of all documents), common terms (i.e., occurring in more than 10% of all documents) and retained only nouns and adjectives. It is relevant to notice that no document was lost due to these steps. We then used the TF-IDF function [ 55 ] to produce a new list of keywords. We additionally tested other approaches for the identification and clustering of keywords–such as TextRank [ 56 ] or Latent Dirichlet Allocation [ 57 ]–without obtaining more informative results.

Classification of research topics

To guide the literature analysis, two experts met regularly to examine the sample of collected papers and to identify the main topics and trends in gender research. Initially, they conducted brainstorming sessions on the topics they expected to find, due to their knowledge of the literature. This led to an initial list of topics. Subsequently, the experts worked independently, also supported by the keywords in paper titles and abstracts extracted with the procedure described above.

Considering all this information, each expert identified and clustered relevant keywords into topics. At the end of the process, the two assignments were compared and exhibited a 92% agreement. Another meeting was held to discuss discordant cases and reach a consensus. This resulted in a list of 27 topics, briefly introduced in Table 2 and subsequently detailed in the following sections.

TopicShort Description
BehaviorBehavioral aspects related to gender
Board of directorsWomen in boards of directors
Career ProgressionWomen’s promotion and career advancement
CompensationSalary and rewards in relation to employment
CultureIdeas, customs and social behaviors, including bias and stereotypes
Decision-makingThe decision-making process
EducationPrimary, secondary and tertiary education
EmpowermentAuthority, power and self-confidence
EntrepreneurshipWomen starting their own enterprises
FamilyWomen’s relationship with family and family obligations, wok-life balance
FeminineFemale characteristics
GovernanceThe governance structures of firms and society
HiringAppointing women to positions within the workforce
Human CapitalThe intellectual capital resulting from education and social capital
LeadershipLeadership skills and leadership positions
ManagementManagerial practices and processes
MasculineMale characteristics
NetworkNetworking dynamics as they relate to women
OrganizationThe organization of firms
ParentingThe act of raising children and its implications
PerformanceMeasuring the work output of individuals, teams and organizations
PersonalityTraits and individual characteristics of women
PoliticsPolicies and regulations, women in politics
ReputationHow women are viewed by their colleagues, peers and society
RoleThe roles covered by women in the workforce
SustainabilityWomen’s relation to sustainability and social responsibility
Well-BeingPsychological, personal, and social welfare of women

Evaluation of semantic importance

Working on the lemmatized corpus of the 15,465 papers included in our sample, we proceeded with the evaluation of semantic importance trends for each topic and with the analysis of their connections and prevalent textual associations. To this aim, we used the Semantic Brand Score indicator [ 36 ], calculated through the SBS BI webapp [ 37 ] that also produced a brand image report for each topic. For this study we relied on the computing resources of the ENEA/CRESCO infrastructure [ 58 ].

The Semantic Brand Score (SBS) is a measure of semantic importance that combines methods of social network analysis and text mining. It is usually applied for the analysis of (big) textual data to evaluate the importance of one or more brands, names, words, or sets of keywords [ 36 ]. Indeed, the concept of “brand” is intended in a flexible way and goes beyond products or commercial brands. In this study, we evaluate the SBS time-trends of the keywords defining the research topics discussed in the previous section. Semantic importance comprises the three dimensions of topic prevalence, diversity and connectivity. Prevalence measures how frequently a research topic is used in the discourse. The more a topic is mentioned by scientific articles, the more the research community will be aware of it, with possible increase of future studies; this construct is partly related to that of brand awareness [ 59 ]. This effect is even stronger, considering that we are analyzing the title, abstract and keywords of the papers, i.e. the parts that have the highest visibility. A very important characteristic of the SBS is that it considers the relationships among words in a text. Topic importance is not just a matter of how frequently a topic is mentioned, but also of the associations a topic has in the text. Specifically, texts are transformed into networks of co-occurring words, and relationships are studied through social network analysis [ 60 ]. This step is necessary to calculate the other two dimensions of our semantic importance indicator. Accordingly, a social network of words is generated for each time period considered in the analysis–i.e., a graph made of n nodes (words) and E edges weighted by co-occurrence frequency, with W being the set of edge weights. The keywords representing each topic were clustered into single nodes.

The construct of diversity relates to that of brand image [ 59 ], in the sense that it considers the richness and distinctiveness of textual (topic) associations. Considering the above-mentioned networks, we calculated diversity using the distinctiveness centrality metric–as in the formula presented by Fronzetti Colladon and Naldi [ 61 ].

Lastly, connectivity was measured as the weighted betweenness centrality [ 62 , 63 ] of each research topic node. We used the formula presented by Wasserman and Faust [ 60 ]. The dimension of connectivity represents the “brokerage power” of each research topic–i.e., how much it can serve as a bridge to connect other terms (and ultimately topics) in the discourse [ 36 ].

The SBS is the final composite indicator obtained by summing the standardized scores of prevalence, diversity and connectivity. Standardization was carried out considering all the words in the corpus, for each specific timeframe.

This methodology, applied to a large and heterogeneous body of text, enables to automatically identify two important sets of information that add value to the literature review. Firstly, the relevance of each topic in literature is measured through a composite indicator of semantic importance, rather than simply looking at word frequencies. This provides a much richer picture of the topics that are at the center of the discourse, as well as of the topics that are emerging in the literature. Secondly, it enables to examine the extent of the semantic relationship between topics, looking at how tightly their discourses are linked. In a field such as gender equality, where many topics are closely linked to each other and present overlaps in issues and solutions, this methodology offers a novel perspective with respect to traditional literature reviews. In addition, it ensures reproducibility over time and the possibility to semi-automatically update the analysis, as new papers become available.

Overview of main topics

In terms of descriptive textual statistics, our corpus is made of 15,465 text documents, consisting of a total of 2,685,893 lemmatized tokens (words) and 32,279 types. As a result, the type-token ratio is 1.2%. The number of hapaxes is 12,141, with a hapax-token ratio of 37.61%.

Fig 1 shows the list of 27 topics by decreasing SBS. The most researched topic is compensation , exceeding all others in prevalence, diversity, and connectivity. This means it is not only mentioned more often than other topics, but it is also connected to a greater number of other topics and is central to the discourse on gender equality. The next four topics are, in order of SBS, role , education , decision-making , and career progression . These topics, except for education , all concern women in the workforce. Between these first five topics and the following ones there is a clear drop in SBS scores. In particular, the topics that follow have a lower connectivity than the first five. They are hiring , performance , behavior , organization , and human capital . Again, except for behavior and human capital , the other three topics are purely related to women in the workforce. After another drop-off, the following topics deal prevalently with women in society. This trend highlights that research on gender in business journals has so far mainly paid attention to the conditions that women experience in business contexts, while also devoting some attention to women in society.

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Fig 2 shows the SBS time series of the top 10 topics. While there has been a general increase in the number of Scopus-indexed publications in the last decade, we notice that some SBS trends remain steady, or even decrease. In particular, we observe that the main topic of the last twenty-two years, compensation , is losing momentum. Since 2016, it has been surpassed by decision-making , education and role , which may indicate that literature is increasingly attempting to identify root causes of compensation inequalities. Moreover, in the last two years, the topics of hiring , performance , and organization are experiencing the largest importance increase.

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Fig 3 shows the SBS time trends of the remaining 17 topics (i.e., those not in the top 10). As we can see from the graph, there are some that maintain a steady trend–such as reputation , management , networks and governance , which also seem to have little importance. More relevant topics with average stationary trends (except for the last two years) are culture , family , and parenting . The feminine topic is among the most important here, and one of those that exhibit the larger variations over time (similarly to leadership ). On the other hand, the are some topics that, even if not among the most important, show increasing SBS trends; therefore, they could be considered as emerging topics and could become popular in the near future. These are entrepreneurship , leadership , board of directors , and sustainability . These emerging topics are also interesting to anticipate future trends in gender equality research that are conducive to overall equality in society.

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In addition to the SBS score of the different topics, the network of terms they are associated to enables to gauge the extent to which their images (textual associations) overlap or differ ( Fig 4 ).

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There is a central cluster of topics with high similarity, which are all connected with women in the workforce. The cluster includes topics such as organization , decision-making , performance , hiring , human capital , education and compensation . In addition, the topic of well-being is found within this cluster, suggesting that women’s equality in the workforce is associated to well-being considerations. The emerging topics of entrepreneurship and leadership are also closely connected with each other, possibly implying that leadership is a much-researched quality in female entrepreneurship. Topics that are relatively more distant include personality , politics , feminine , empowerment , management , board of directors , reputation , governance , parenting , masculine and network .

The following sections describe the top 10 topics and their main associations in literature (see Table 3 ), while providing a brief overview of the emerging topics.

TopicTop associations (other topics in bold)
Behaviorsocial, work, , differences, related, , child, positive, group, individual, self, influence, relationship, stereotype, health, inequality, change, , student, participant, , , experience, , , intention
Career Progression , inequality, difference , work, social, equity, , , , , level, , development, policy, examine, role, self, experience, , support, , individual, , perceive, academic, differences
Compensationgap, , difference, inequality, , , work, increase, higher, lower, market, less, labor, household, low, , age, time, high, labour, attention, discrimination, change, country, individual, status
Decision Making , , social, work, , , inequality, household, group, policy, , process, , health, , level, role, individual, , , equity, , stereotype, different, , change
Educationage, inequality, level, , study, social, health, gap, status, equity, student, , , child, , school, economic, policy, work, , experience, higher, access, household, development
Hiring , work, , , discrimination, level, , time, , gap, sector, , market, social, increase, status, , policy, inequality, experience, differences, lower, equity, high, data, satisfaction,
Human Capital , , work, , social, , , , self, , health, , , student, , group, child, individual, development, age, differences, lack, gap, focus, change
Organizationwork, , , inequality, , , social, diversity, policy, level, change, , employee, individual, , equity, , practice, value, , management, structure, discrimination, ,
Performance , , , stereotype, work, , , , , self, impact, social, , , difference, high, firm, threat, student, inequality, role, , increase, relationship, experience
Role , , work, , , , firm, , , social, , role, , employee, less, increase, experience, traditional, , stereotype, sector, , business, gap, group, data

Compensation

The topic of compensation is related to the topics of role , hiring , education and career progression , however, also sees a very high association with the words gap and inequality . Indeed, a well-known debate in degrowth economics centers around whether and how to adequately compensate women for their childbearing, childrearing, caregiver and household work [e.g., 30 ].

Even in paid work, women continue being offered lower compensations than their male counterparts who have the same job or cover the same role [ 64 – 67 ]. This severe inequality has been widely studied by scholars over the last twenty-two years. Dealing with this topic, some specific roles have been addressed. Specifically, research highlighted differences in compensation between female and male CEOs [e.g., 68 ], top executives [e.g., 69 ], and boards’ directors [e.g., 70 ]. Scholars investigated the determinants of these gaps, such as the gender composition of the board [e.g., 71 – 73 ] or women’s individual characteristics [e.g., 71 , 74 ].

Among these individual characteristics, education plays a relevant role [ 75 ]. Education is indeed presented as the solution for women, not only to achieve top executive roles, but also to reduce wage inequality [e.g., 76 , 77 ]. Past research has highlighted education influences on gender wage gaps, specifically referring to gender differences in skills [e.g., 78 ], college majors [e.g., 79 ], and college selectivity [e.g., 80 ].

Finally, the wage gap issue is strictly interrelated with hiring –e.g., looking at whether being a mother affects hiring and compensation [e.g., 65 , 81 ] or relating compensation to unemployment [e.g., 82 ]–and career progression –for instance looking at meritocracy [ 83 , 84 ] or the characteristics of the boss for whom women work [e.g., 85 ].

The roles covered by women have been deeply investigated. Scholars have focused on the role of women in their families and the society as a whole [e.g., 14 , 15 ], and, more widely, in business contexts [e.g., 18 , 81 ]. Indeed, despite still lagging behind their male counterparts [e.g., 86 , 87 ], in the last decade there has been an increase in top ranked positions achieved by women [e.g., 88 , 89 ]. Following this phenomenon, scholars have posed greater attention towards the presence of women in the board of directors [e.g., 16 , 18 , 90 , 91 ], given the increasing pressure to appoint female directors that firms, especially listed ones, have experienced. Other scholars have focused on the presence of women covering the role of CEO [e.g., 17 , 92 ] or being part of the top management team [e.g., 93 ]. Irrespectively of the level of analysis, all these studies tried to uncover the antecedents of women’s presence among top managers [e.g., 92 , 94 ] and the consequences of having a them involved in the firm’s decision-making –e.g., on performance [e.g., 19 , 95 , 96 ], risk [e.g., 97 , 98 ], and corporate social responsibility [e.g., 99 , 100 ].

Besides studying the difficulties and discriminations faced by women in getting a job [ 81 , 101 ], and, more specifically in the hiring , appointment, or career progression to these apical roles [e.g., 70 , 83 ], the majority of research of women’s roles dealt with compensation issues. Specifically, scholars highlight the pay-gap that still exists between women and men, both in general [e.g., 64 , 65 ], as well as referring to boards’ directors [e.g., 70 , 102 ], CEOs and executives [e.g., 69 , 103 , 104 ].

Finally, other scholars focused on the behavior of women when dealing with business. In this sense, particular attention has been paid to leadership and entrepreneurial behaviors. The former quite overlaps with dealing with the roles mentioned above, but also includes aspects such as leaders being stereotyped as masculine [e.g., 105 ], the need for greater exposure to female leaders to reduce biases [e.g., 106 ], or female leaders acting as queen bees [e.g., 107 ]. Regarding entrepreneurship , scholars mainly investigated women’s entrepreneurial entry [e.g., 108 , 109 ], differences between female and male entrepreneurs in the evaluations and funding received from investors [e.g., 110 , 111 ], and their performance gap [e.g., 112 , 113 ].

Education has long been recognized as key to social advancement and economic stability [ 114 ], for job progression and also a barrier to gender equality, especially in STEM-related fields. Research on education and gender equality is mostly linked with the topics of compensation , human capital , career progression , hiring , parenting and decision-making .

Education contributes to a higher human capital [ 115 ] and constitutes an investment on the part of women towards their future. In this context, literature points to the gender gap in educational attainment, and the consequences for women from a social, economic, personal and professional standpoint. Women are found to have less access to formal education and information, especially in emerging countries, which in turn may cause them to lose social and economic opportunities [e.g., 12 , 116 – 119 ]. Education in local and rural communities is also paramount to communicate the benefits of female empowerment , contributing to overall societal well-being [e.g., 120 ].

Once women access education, the image they have of the world and their place in society (i.e., habitus) affects their education performance [ 13 ] and is passed on to their children. These situations reinforce gender stereotypes, which become self-fulfilling prophecies that may negatively affect female students’ performance by lowering their confidence and heightening their anxiety [ 121 , 122 ]. Besides formal education, also the information that women are exposed to on a daily basis contributes to their human capital . Digital inequalities, for instance, stems from men spending more time online and acquiring higher digital skills than women [ 123 ].

Education is also a factor that should boost employability of candidates and thus hiring , career progression and compensation , however the relationship between these factors is not straightforward [ 115 ]. First, educational choices ( decision-making ) are influenced by variables such as self-efficacy and the presence of barriers, irrespectively of the career opportunities they offer, especially in STEM [ 124 ]. This brings additional difficulties to women’s enrollment and persistence in scientific and technical fields of study due to stereotypes and biases [ 125 , 126 ]. Moreover, access to education does not automatically translate into job opportunities for women and minority groups [ 127 , 128 ] or into female access to managerial positions [ 129 ].

Finally, parenting is reported as an antecedent of education [e.g., 130 ], with much of the literature focusing on the role of parents’ education on the opportunities afforded to children to enroll in education [ 131 – 134 ] and the role of parenting in their offspring’s perception of study fields and attitudes towards learning [ 135 – 138 ]. Parental education is also a predictor of the other related topics, namely human capital and compensation [ 139 ].

Decision-making

This literature mainly points to the fact that women are thought to make decisions differently than men. Women have indeed different priorities, such as they care more about people’s well-being, working with people or helping others, rather than maximizing their personal (or their firm’s) gain [ 140 ]. In other words, women typically present more communal than agentic behaviors, which are instead more frequent among men [ 141 ]. These different attitude, behavior and preferences in turn affect the decisions they make [e.g., 142 ] and the decision-making of the firm in which they work [e.g., 143 ].

At the individual level, gender affects, for instance, career aspirations [e.g., 144 ] and choices [e.g., 142 , 145 ], or the decision of creating a venture [e.g., 108 , 109 , 146 ]. Moreover, in everyday life, women and men make different decisions regarding partners [e.g., 147 ], childcare [e.g., 148 ], education [e.g., 149 ], attention to the environment [e.g., 150 ] and politics [e.g., 151 ].

At the firm level, scholars highlighted, for example, how the presence of women in the board affects corporate decisions [e.g., 152 , 153 ], that female CEOs are more conservative in accounting decisions [e.g., 154 ], or that female CFOs tend to make more conservative decisions regarding the firm’s financial reporting [e.g., 155 ]. Nevertheless, firm level research also investigated decisions that, influenced by gender bias, affect women, such as those pertaining hiring [e.g., 156 , 157 ], compensation [e.g., 73 , 158 ], or the empowerment of women once appointed [ 159 ].

Career progression

Once women have entered the workforce, the key aspect to achieve gender equality becomes career progression , including efforts toward overcoming the glass ceiling. Indeed, according to the SBS analysis, career progression is highly related to words such as work, social issues and equality. The topic with which it has the highest semantic overlap is role , followed by decision-making , hiring , education , compensation , leadership , human capital , and family .

Career progression implies an advancement in the hierarchical ladder of the firm, assigning managerial roles to women. Coherently, much of the literature has focused on identifying rationales for a greater female participation in the top management team and board of directors [e.g., 95 ] as well as the best criteria to ensure that the decision-makers promote the most valuable employees irrespectively of their individual characteristics, such as gender [e.g., 84 ]. The link between career progression , role and compensation is often provided in practice by performance appraisal exercises, frequently rooted in a culture of meritocracy that guides bonuses, salary increases and promotions. However, performance appraisals can actually mask gender-biased decisions where women are held to higher standards than their male colleagues [e.g., 83 , 84 , 95 , 160 , 161 ]. Women often have less opportunities to gain leadership experience and are less visible than their male colleagues, which constitute barriers to career advancement [e.g., 162 ]. Therefore, transparency and accountability, together with procedures that discourage discretionary choices, are paramount to achieve a fair career progression [e.g., 84 ], together with the relaxation of strict job boundaries in favor of cross-functional and self-directed tasks [e.g., 163 ].

In addition, a series of stereotypes about the type of leadership characteristics that are required for top management positions, which fit better with typical male and agentic attributes, are another key barrier to career advancement for women [e.g., 92 , 160 ].

Hiring is the entrance gateway for women into the workforce. Therefore, it is related to other workforce topics such as compensation , role , career progression , decision-making , human capital , performance , organization and education .

A first stream of literature focuses on the process leading up to candidates’ job applications, demonstrating that bias exists before positions are even opened, and it is perpetuated both by men and women through networking and gatekeeping practices [e.g., 164 , 165 ].

The hiring process itself is also subject to biases [ 166 ], for example gender-congruity bias that leads to men being preferred candidates in male-dominated sectors [e.g., 167 ], women being hired in positions with higher risk of failure [e.g., 168 ] and limited transparency and accountability afforded by written processes and procedures [e.g., 164 ] that all contribute to ascriptive inequality. In addition, providing incentives for evaluators to hire women may actually work to this end; however, this is not the case when supporting female candidates endangers higher-ranking male ones [ 169 ].

Another interesting perspective, instead, looks at top management teams’ composition and the effects on hiring practices, indicating that firms with more women in top management are less likely to lay off staff [e.g., 152 ].

Performance

Several scholars posed their attention towards women’s performance, its consequences [e.g., 170 , 171 ] and the implications of having women in decision-making positions [e.g., 18 , 19 ].

At the individual level, research focused on differences in educational and academic performance between women and men, especially referring to the gender gap in STEM fields [e.g., 171 ]. The presence of stereotype threats–that is the expectation that the members of a social group (e.g., women) “must deal with the possibility of being judged or treated stereotypically, or of doing something that would confirm the stereotype” [ 172 ]–affects women’s interested in STEM [e.g., 173 ], as well as their cognitive ability tests, penalizing them [e.g., 174 ]. A stronger gender identification enhances this gap [e.g., 175 ], whereas mentoring and role models can be used as solutions to this problem [e.g., 121 ]. Despite the negative effect of stereotype threats on girls’ performance [ 176 ], female and male students perform equally in mathematics and related subjects [e.g., 177 ]. Moreover, while individuals’ performance at school and university generally affects their achievements and the field in which they end up working, evidence reveals that performance in math or other scientific subjects does not explain why fewer women enter STEM working fields; rather this gap depends on other aspects, such as culture, past working experiences, or self-efficacy [e.g., 170 ]. Finally, scholars have highlighted the penalization that women face for their positive performance, for instance when they succeed in traditionally male areas [e.g., 178 ]. This penalization is explained by the violation of gender-stereotypic prescriptions [e.g., 179 , 180 ], that is having women well performing in agentic areas, which are typical associated to men. Performance penalization can thus be overcome by clearly conveying communal characteristics and behaviors [ 178 ].

Evidence has been provided on how the involvement of women in boards of directors and decision-making positions affects firms’ performance. Nevertheless, results are mixed, with some studies showing positive effects on financial [ 19 , 181 , 182 ] and corporate social performance [ 99 , 182 , 183 ]. Other studies maintain a negative association [e.g., 18 ], and other again mixed [e.g., 184 ] or non-significant association [e.g., 185 ]. Also with respect to the presence of a female CEO, mixed results emerged so far, with some researches demonstrating a positive effect on firm’s performance [e.g., 96 , 186 ], while other obtaining only a limited evidence of this relationship [e.g., 103 ] or a negative one [e.g., 187 ].

Finally, some studies have investigated whether and how women’s performance affects their hiring [e.g., 101 ] and career progression [e.g., 83 , 160 ]. For instance, academic performance leads to different returns in hiring for women and men. Specifically, high-achieving men are called back significantly more often than high-achieving women, which are penalized when they have a major in mathematics; this result depends on employers’ gendered standards for applicants [e.g., 101 ]. Once appointed, performance ratings are more strongly related to promotions for women than men, and promoted women typically show higher past performance ratings than those of promoted men. This suggesting that women are subject to stricter standards for promotion [e.g., 160 ].

Behavioral aspects related to gender follow two main streams of literature. The first examines female personality and behavior in the workplace, and their alignment with cultural expectations or stereotypes [e.g., 188 ] as well as their impacts on equality. There is a common bias that depicts women as less agentic than males. Certain characteristics, such as those more congruent with male behaviors–e.g., self-promotion [e.g., 189 ], negotiation skills [e.g., 190 ] and general agentic behavior [e.g., 191 ]–, are less accepted in women. However, characteristics such as individualism in women have been found to promote greater gender equality in society [ 192 ]. In addition, behaviors such as display of emotions [e.g., 193 ], which are stereotypically female, work against women’s acceptance in the workplace, requiring women to carefully moderate their behavior to avoid exclusion. A counter-intuitive result is that women and minorities, which are more marginalized in the workplace, tend to be better problem-solvers in innovation competitions due to their different knowledge bases [ 194 ].

The other side of the coin is examined in a parallel literature stream on behavior towards women in the workplace. As a result of biases, prejudices and stereotypes, women may experience adverse behavior from their colleagues, such as incivility and harassment, which undermine their well-being [e.g., 195 , 196 ]. Biases that go beyond gender, such as for overweight people, are also more strongly applied to women [ 197 ].

Organization

The role of women and gender bias in organizations has been studied from different perspectives, which mirror those presented in detail in the following sections. Specifically, most research highlighted the stereotypical view of leaders [e.g., 105 ] and the roles played by women within firms, for instance referring to presence in the board of directors [e.g., 18 , 90 , 91 ], appointment as CEOs [e.g., 16 ], or top executives [e.g., 93 ].

Scholars have investigated antecedents and consequences of the presence of women in these apical roles. On the one side they looked at hiring and career progression [e.g., 83 , 92 , 160 , 168 , 198 ], finding women typically disadvantaged with respect to their male counterparts. On the other side, they studied women’s leadership styles and influence on the firm’s decision-making [e.g., 152 , 154 , 155 , 199 ], with implications for performance [e.g., 18 , 19 , 96 ].

Human capital

Human capital is a transverse topic that touches upon many different aspects of female gender equality. As such, it has the most associations with other topics, starting with education as mentioned above, with career-related topics such as role , decision-making , hiring , career progression , performance , compensation , leadership and organization . Another topic with which there is a close connection is behavior . In general, human capital is approached both from the education standpoint but also from the perspective of social capital.

The behavioral aspect in human capital comprises research related to gender differences for example in cultural and religious beliefs that influence women’s attitudes and perceptions towards STEM subjects [ 142 , 200 – 202 ], towards employment [ 203 ] or towards environmental issues [ 150 , 204 ]. These cultural differences also emerge in the context of globalization which may accelerate gender equality in the workforce [ 205 , 206 ]. Gender differences also appear in behaviors such as motivation [ 207 ], and in negotiation [ 190 ], and have repercussions on women’s decision-making related to their careers. The so-called gender equality paradox sees women in countries with lower gender equality more likely to pursue studies and careers in STEM fields, whereas the gap in STEM enrollment widens as countries achieve greater equality in society [ 171 ].

Career progression is modeled by literature as a choice-process where personal preferences, culture and decision-making affect the chosen path and the outcomes. Some literature highlights how women tend to self-select into different professions than men, often due to stereotypes rather than actual ability to perform in these professions [ 142 , 144 ]. These stereotypes also affect the perceptions of female performance or the amount of human capital required to equal male performance [ 110 , 193 , 208 ], particularly for mothers [ 81 ]. It is therefore often assumed that women are better suited to less visible and less leadership -oriented roles [ 209 ]. Women also express differing preferences towards work-family balance, which affect whether and how they pursue human capital gains [ 210 ], and ultimately their career progression and salary .

On the other hand, men are often unaware of gendered processes and behaviors that they carry forward in their interactions and decision-making [ 211 , 212 ]. Therefore, initiatives aimed at increasing managers’ human capital –by raising awareness of gender disparities in their organizations and engaging them in diversity promotion–are essential steps to counter gender bias and segregation [ 213 ].

Emerging topics: Leadership and entrepreneurship

Among the emerging topics, the most pervasive one is women reaching leadership positions in the workforce and in society. This is still a rare occurrence for two main types of factors, on the one hand, bias and discrimination make it harder for women to access leadership positions [e.g., 214 – 216 ], on the other hand, the competitive nature and high pressure associated with leadership positions, coupled with the lack of women currently represented, reduce women’s desire to achieve them [e.g., 209 , 217 ]. Women are more effective leaders when they have access to education, resources and a diverse environment with representation [e.g., 218 , 219 ].

One sector where there is potential for women to carve out a leadership role is entrepreneurship . Although at the start of the millennium the discourse on entrepreneurship was found to be “discriminatory, gender-biased, ethnocentrically determined and ideologically controlled” [ 220 ], an increasing body of literature is studying how to stimulate female entrepreneurship as an alternative pathway to wealth, leadership and empowerment [e.g., 221 ]. Many barriers exist for women to access entrepreneurship, including the institutional and legal environment, social and cultural factors, access to knowledge and resources, and individual behavior [e.g., 222 , 223 ]. Education has been found to raise women’s entrepreneurial intentions [e.g., 224 ], although this effect is smaller than for men [e.g., 109 ]. In addition, increasing self-efficacy and risk-taking behavior constitute important success factors [e.g., 225 ].

Finally, the topic of sustainability is worth mentioning, as it is the primary objective of the SDGs and is closely associated with societal well-being. As society grapples with the effects of climate change and increasing depletion of natural resources, a narrative has emerged on women and their greater link to the environment [ 226 ]. Studies in developed countries have found some support for women leaders’ attention to sustainability issues in firms [e.g., 227 – 229 ], and smaller resource consumption by women [ 230 ]. At the same time, women will likely be more affected by the consequences of climate change [e.g., 230 ] but often lack the decision-making power to influence local decision-making on resource management and environmental policies [e.g., 231 ].

Research gaps and conclusions

Research on gender equality has advanced rapidly in the past decades, with a steady increase in publications, both in mainstream topics related to women in education and the workforce, and in emerging topics. Through a novel approach combining methods of text mining and social network analysis, we examined a comprehensive body of literature comprising 15,465 papers published between 2000 and mid 2021 on topics related to gender equality. We identified a set of 27 topics addressed by the literature and examined their connections.

At the highest level of abstraction, it is worth noting that papers abound on the identification of issues related to gender inequalities and imbalances in the workforce and in society. Literature has thoroughly examined the (unconscious) biases, barriers, stereotypes, and discriminatory behaviors that women are facing as a result of their gender. Instead, there are much fewer papers that discuss or demonstrate effective solutions to overcome gender bias [e.g., 121 , 143 , 145 , 163 , 194 , 213 , 232 ]. This is partly due to the relative ease in studying the status quo, as opposed to studying changes in the status quo. However, we observed a shift in the more recent years towards solution seeking in this domain, which we strongly encourage future researchers to focus on. In the future, we may focus on collecting and mapping pro-active contributions to gender studies, using additional Natural Language Processing techniques, able to measure the sentiment of scientific papers [ 43 ].

All of the mainstream topics identified in our literature review are closely related, and there is a wealth of insights looking at the intersection between issues such as education and career progression or human capital and role . However, emerging topics are worthy of being furtherly explored. It would be interesting to see more work on the topic of female entrepreneurship , exploring aspects such as education , personality , governance , management and leadership . For instance, how can education support female entrepreneurship? How can self-efficacy and risk-taking behaviors be taught or enhanced? What are the differences in managerial and governance styles of female entrepreneurs? Which personality traits are associated with successful entrepreneurs? Which traits are preferred by venture capitalists and funding bodies?

The emerging topic of sustainability also deserves further attention, as our society struggles with climate change and its consequences. It would be interesting to see more research on the intersection between sustainability and entrepreneurship , looking at how female entrepreneurs are tackling sustainability issues, examining both their business models and their company governance . In addition, scholars are suggested to dig deeper into the relationship between family values and behaviors.

Moreover, it would be relevant to understand how women’s networks (social capital), or the composition and structure of social networks involving both women and men, enable them to increase their remuneration and reach top corporate positions, participate in key decision-making bodies, and have a voice in communities. Furthermore, the achievement of gender equality might significantly change firm networks and ecosystems, with important implications for their performance and survival.

Similarly, research at the nexus of (corporate) governance , career progression , compensation and female empowerment could yield useful insights–for example discussing how enterprises, institutions and countries are managed and the impact for women and other minorities. Are there specific governance structures that favor diversity and inclusion?

Lastly, we foresee an emerging stream of research pertaining how the spread of the COVID-19 pandemic challenged women, especially in the workforce, by making gender biases more evident.

For our analysis, we considered a set of 15,465 articles downloaded from the Scopus database (which is the largest abstract and citation database of peer-reviewed literature). As we were interested in reviewing business and economics related gender studies, we only considered those papers published in journals listed in the Academic Journal Guide (AJG) 2018 ranking of the Chartered Association of Business Schools (CABS). All the journals listed in this ranking are also indexed by Scopus. Therefore, looking at a single database (i.e., Scopus) should not be considered a limitation of our study. However, future research could consider different databases and inclusion criteria.

With our literature review, we offer researchers a comprehensive map of major gender-related research trends over the past twenty-two years. This can serve as a lens to look to the future, contributing to the achievement of SDG5. Researchers may use our study as a starting point to identify key themes addressed in the literature. In addition, our methodological approach–based on the use of the Semantic Brand Score and its webapp–could support scholars interested in reviewing other areas of research.

Supporting information

Acknowledgments.

The computing resources and the related technical support used for this work have been provided by CRESCO/ENEAGRID High Performance Computing infrastructure and its staff. CRESCO/ENEAGRID High Performance Computing infrastructure is funded by ENEA, the Italian National Agency for New Technologies, Energy and Sustainable Economic Development and by Italian and European research programmes (see http://www.cresco.enea.it/english for information).

Funding Statement

P.B and F.C.: Grant of the Department of Energy, Systems, Territory and Construction of the University of Pisa (DESTEC) for the project “Measuring Gender Bias with Semantic Analysis: The Development of an Assessment Tool and its Application in the European Space Industry. P.B., F.C., A.F.C., P.R.: Grant of the Italian Association of Management Engineering (AiIG), “Misure di sostegno ai soci giovani AiIG” 2020, for the project “Gender Equality Through Data Intelligence (GEDI)”. F.C.: EU project ASSETs+ Project (Alliance for Strategic Skills addressing Emerging Technologies in Defence) EAC/A03/2018 - Erasmus+ programme, Sector Skills Alliances, Lot 3: Sector Skills Alliance for implementing a new strategic approach (Blueprint) to sectoral cooperation on skills G.A. NUMBER: 612678-EPP-1-2019-1-IT-EPPKA2-SSA-B.

Data Availability

SYSTEMATIC REVIEW article

Linking gender differences with gender equality: a systematic-narrative literature review of basic skills and personality.

Marco Balducci

There is controversy regarding whether gender differences are smaller or larger in societies that promote gender equality highlighting the need for an integrated analysis. This review examines literature correlating, on a national level, gender differences in basic skills—mathematics, science (including attitudes and anxiety), and reading—as well as personality, to gender equality indicators. The aim is to assess the cross-national pattern of these differences when linked to measures of gender equality and explore new explanatory variables that can shed light on this linkage. The review was based on quantitative research relating country-level measures of gender differences to gender equality composite indices and specific indicators. The findings show that the mathematics gender gap from the PISA and TIMMS assessments, is not linked to composite indices and specific indicators, but gender differences are larger in gender-equal countries for reading, mathematics attitudes, and personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests). Research on science and overall scores (mathematics, science, and reading considered together) is inconclusive. It is proposed that the paradox in reading results from the interrelation between basic skills and the attempt to increase girls’ mathematics abilities both acting simultaneously while the paradox in mathematics attitudes might be explained by girls being less exposed to mathematics than boys. On the other hand, a more nuanced understanding of the gender equality paradox in personality is advanced, in which a gene–environment-cultural interplay accounts for the phenomenon. Challenges for future cross-national research are discussed.

1. Introduction

Despite Western countries having considerably advanced in gender equality, gender horizontal segregation remains among the main drivers of economic gender inequality ( Cech, 2013 ). Women have entered the labor market at increasingly high rates since the 70s, nevertheless, they often still work in specific sectors with substantial effects on their income ( Cortes and Pan, 2018 ). Gender segregation is already visible at the educational level where girls are overrepresented in disciplines such as Social Sciences and Humanities; these subjects are characterized by lower labor market prospects and income ( van de Werfhorst, 2017 ). On the other hand, boys prefer STEM fields which offer high-salaried and more status-related careers ( Barone and Assirelli, 2020 ). To explain the phenomenon, scholars in sociology and psychology have been particularly interested in basic skills and personality gender variances due to their influence on gendered career choices and outcomes ( Rosenbloom et al., 2008 ; Dekhtyar et al., 2018 ; Stoet and Geary, 2018 ).

Regardless of doubts about their magnitude ( Hyde, 2005 ; Archer, 2019 ; Hirnstein et al., 2022 ), gender differences in basic skills and personality are well-established in the literature ( Halpern, 2000 ; Halpern et al., 2007 ; Geary, 2010 ; Weisberg et al., 2011 ). The gender gaps favoring boys in mathematics and science are close to zero on average but observable at the upper and lower tails of the distribution ( Halpern et al., 2007 ; Wai et al., 2018 ). Conversely, differences in reading skills (women > men) are more pronounced and already noticeable when comparing men’s and women’s statistical means ( Halpern, 2000 ; Moè et al., 2021 ). Regarding personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests), gender variances, although small to medium, occur across models and share a similar pattern. On the one hand, women score higher in negative emotions and reciprocity as well as prefer to “work with people.” On the other hand, men have more realistic preferences and regard status-related values more ( Schwartz and Rubel, 2005 ; Schmitt et al., 2008 ; Su et al., 2009 ; Lee and Ashton, 2018 ). On a national level, however, the link between these gender differences and gender equality, measured using conventional indicators such as the World Economic Forum’s Global Gender Gap Index (GGI), remains unclear with scholars making contrasting predictions.

Numerous social-role theories of gender differences expect that the gaps between men and women will decrease as equality between them is achieved ( Eagly and Mitchell, 2004 ; Else-Quest et al., 2010 ). These theories argue that cognitive and personality gender differences are derived from socially constructed gender identities based on erroneous essential beliefs (stereotypes) that men and women are intrinsically different ( Wood and Eagly, 2013 ). Gender stereotypes originate from the division of labor in ancient hunter-gatherer societies, in which greater strength allowed men to engage in more power-related activities, while women were tasked with nurturing duties because of their ability to breastfeed ( Eagly and Wood, 1999 ). Stereotypes would emerge early in life, with elementary school children already consistently engaging in gender essentialism, gender stereotyping, and implicit gender associations ( Meyer and Gelman, 2016 ). Parents, teachers, and friends are responsible for reinforcing them, rewarding children for behaving according to gendered expectations ( Gunderson et al., 2012 ), thereby making gender a “primary framing device for social relations” ( Ridgeway, 2006 ). As a result, boys and girls grow up into adults who have gender-specific roles in society and experience gender-conforming environments that shape their distinct skills and personalities ( Diekman and Schneider, 2010 ). The common assumption underlying these theories predicts that essentialist beliefs decrease in countries with higher gender equality. If this is true, empirical research will find smaller gender differences in more gender-equal nations.

Other studies have theorized an opposite trend, with men and women becoming increasingly dissimilar in gender-equal countries ( Charles and Bradley, 2009 ; Kaiser, 2019 ). Recently, Stoet and Geary (2018) labeled this phenomenon “the gender equality paradox.” Some have proposed that this paradox results from an emphasis on individualism and a societal system designed to accommodate women in what is perceived to be their gendered role ( Charles and Grusky, 2018 ). Others have applied an evolutionary approach and argued that in less unequal environments, men and women freely express their intrinsic differences as the privileged access to resources in “more prosperous and more egalitarian” societies favors the emergence of specific gender-evolved behaviors ( Schmitt et al., 2008 ).

Although the topic of gender difference has been widely discussed, whether men and women become progressively similar or different when greater equality between them has been achieved remains uncertain. This paper reviews several theories hypothesizing contrasting patterns, and then turns to the recent scientific debate on gender differences in basic skills from the PISA and TIMMS assessments, as well as personality (Big Five, HEXACO, Basic Human Values, and Vocational Interests) to consider how they relate to measures of gender equality on a national level. Several challenges for future cross-national research are also highlighted. Specifically, the present review indicates that the correlation between gender differences in mathematics and gender equality may derive from the lack of country-level effects in the models, while ecological stress (food consumption and historical levels of pathogen prevalence) may confound the results for personality. In addition, the paper examines explanations of the paradox in different domains and proposes a novel theory to explain the gender equality paradox in personality, where a “feedback-loop” effect (gene–environment-culture interplay) might account for the phenomenon.

The narrative approach was assessed to be the most suitable method for this study. Compared to more analytical methods, it allows for deeper insights into the ongoing debate ( Graham, 1995 ). However, issues may arise with this method due to bias in paper selection and interpretation ( Dijkers, 2009 ). To avoid these issues, the author implemented a systematic approach based on PRISMA guidelines together with the narrative method.

2.1. Eligibility criteria

To be eligible for inclusion, papers had to have been published between 2009 and 2022, and they had to describe quantitative cross-national research analyzing gender differences associated with measures of gender equality (composite indices or specific indicators) utilizing international data. The selected studies were divided into two groups—basic skills and personality—then further divided into multiple subgroups: mathematics, science (including attitudes and anxiety), reading, and overall scores for basic skills, as well as the Big Five, the HEXACO model, basic human values and vocational interests for personality factors. Since they had fewer available papers, the Big Five and HEXACO, as well as basic human values and vocational interests categories were combined.

2.2. Information sources

Published studies were selected from Scopus, Web of Science, Social Science Database, and Google Scholar. The final search was conducted on all databases in November 2022.

2.3. Search strategy

The research focused on gender differences in basic skills and personality due to their strong relationships with horizontal gender segregation. Thus, the main search words were “gender/sex differences in mathematics/reading/science,” “gender/sex differences in personality,” “gender/sex differences in basic human values” and “gender/sex differences in vocational interests.” The search was then refined using “gender equality/egalitarianism/inequality” as parameters.

2.4. Selection process

Only papers published in English were considered, and they were selected based on their titles, abstracts, and keywords. This study’s author was primarily responsible for the selection, although two other scholars supervised the process and ensured systematic application of the selection criteria.

Ninety-one papers were preselected; 35 were excluded after deeper screening because they did not match the selection criteria. An additional 25 studies were excluded because they studied gender differences outside the domains of interest. Consequently, 31 papers were included in the study.

3. Overview of gender differences in basic skills and personality and their possible relation to gender equality

3.1. gender differences.

On a national level, gender differences in basic skills and personality have been repeatedly described. Research has shown that boys slightly outperform girls in complex mathematical riddles ( Reilly et al., 2019 ); this difference has been associated with men’s overrepresentation in STEM fields ( Dekhtyar et al., 2018 ). Although the difference approaches zero, gaps are especially visible among the top and lower performers because of the higher variability in boys ( Lindberg et al., 2010 ; Wai et al., 2018 ). Stated otherwise, while there are barely any differences on average, the men’s distribution has a flatter curve, yielding higher values at both the lowest and highest ends. Similarly, men appear to have a small advantage over women in science, with differences particularly visible at the top end of the distribution; however, men are also overrepresented among the lowest performers ( Halpern, 2000 ).

Mathematics and science achievement is influenced not only by skills, but also by mathematics and science attitudes, test anxiety, and self-efficacy ( Ashcraft and Moore, 2009 ; Geary et al., 2019 ). These dimensions are believed to be strong determinants of STEM careers and contribute to the underrepresentation of women in these fields ( Moakler and Kim, 2014 ; Sax et al., 2015 ). Research has shown that men generally report more enjoyment and positive attitudes than women when engaging in mathematical activities ( Ganley and Vasilyeva, 2011 ; Devine et al., 2012 ).

By contrast, women perform substantially better than men on verbal tasks ( Moè et al., 2021 ), with girls using a broader vocabulary than boys on average by age two ( Halpern, 2000 ; van der Slik et al., 2015 ). Verbal abilities comprise various skills, and gender differences are most prominent in the reading dimension, where the girls’ advantage is three times wider than the boys’ advantage in mathematics ( Stoet and Geary, 2013 ). Nevertheless, Hirnstein et al. (2022) have cast some doubts on the magnitude of gender differences in verbal abilities claiming that publication bias might have influenced the results.

Cognitive abilities are largely interrelated. For example, high math skills predict higher reading scores and vice versa ( Bos et al., 2012 ; Reilly, 2012 ). Women’s mean overall scores considerably outperform men’s, even though the latter appears to be better positioned at the top and lower tails of the distribution, a finding that supports the higher men variability hypothesis ( Halpern et al., 2007 ; Bergold et al., 2017 ).

Turning to personality, gender differences are reported across the Big Five traits (openness, conscientiousness, extraversion, agreeableness, and neuroticism) and the HEXACO model (honesty–humility, emotionality, extraversion, agreeableness, conscientiousness, and openness), suggesting small to moderate gaps depending on the test and dimension analyzed. Specifically, women score higher in both neuroticism and agreeableness ( Costa et al., 2001 ; Schmitt et al., 2008 ; Murphy et al., 2021 ), although findings have been inconclusive for openness, extraversion, and conscientiousness, with some studies showing women and others showing a men’s advantage ( Goodwin and Gotlib, 2004 ; Shokri et al., 2007 ). The HEXACO model displays a similar pattern, with emotionality and honesty–humility both substantially higher in women than men ( Lee and Ashton, 2004 , 2018 ).

Men and women also differ in value priority and vocational interests. According to Schwartz’s theory ( Schwartz, 1999 ), values define the motivations behind behaviors that regulate attraction in diverse fields. Although the variations are small to medium, research has consistently shown gender gaps, with men scoring higher in power, stimulation, hedonism, achievement, and self-direction and women scoring higher in universalism and benevolence ( Schwartz and Rubel, 2005 ). On the other hand, vocational interests ( Holland, 1997 ) describe how personality interacts with career environments and are important determinants of gender-typed career trajectories ( Kuhn and Wolter, 2022 ). Previous studies have shown that men prefer to be employed in realistic fields, while women favor working with people ( Lippa, 2010a ), suggesting that men have more realistic and investigative interests, preferring careers in engineering, science, and mathematics. By contrast, women prefer “working with people” as they have more artistic, social, and conventional tendencies, which facilitate social science careers ( Su et al., 2009 ).

3.2. Theories predicting that gender equality is linked with smaller gender differences

The social role theory ( Eagly and Wood, 1999 ) posits that variations between men and women derive from the interaction, reinforced by socio-psychological processes, between evolved gender differences in physicality and the socio-cultural context in which these differences are expressed. Eagly and Wood (2012) have argued that, historically, men’s greater strength, endurance, and speed allowed them to conduct physically challenging duties. Conversely, women developed the ability to breastfeed, making them better suited for nurturing tasks. These evolved physical predispositions for specific activities shaped the domestic division of labor between men and women in ancient hunter-gatherer societies ( Eagly and Wood, 2012 ).

As societies developed, the division of labor began to be influenced by physical gender differences in interaction with the social environment ( Eagly and Wood, 1999 ). In modern countries, the socioeconomic setting dictates the relevance of those activities for which men and women have evolved peculiar physical predispositions. In this context, division of labor no longer relates solely to the domestic sphere but also encompasses paid labor, with men and women being segregated into different occupations. This gender segregation “derives in part from male and female biology—that is, mainly their evolved physical attributes, especially women’s reproductive activities and men’s size and strength, which can allow some activities to be more efficiently performed by one sex or the other depending on the socioeconomic and ecological context” ( Wood and Eagly, 2013 ). Thus, the interaction of evolved physical gender differences with the social environment in which they are expressed is likely to be the main process shaping gender segregation.

Within societies, social-psychological processes reinforce gender segregation and make it appear “natural and sensible” ( Wood and Eagly, 2013 ). Most people, when observing differential behaviors, assume that men and women are intrinsically dissimilar and construct specific “multifaceted” gender roles that include either essentially masculine or essentially feminine features ( Beckwith, 2005 ; Wood and Eagly, 2012 ). Individuals then internalize these roles through societal mechanisms that reward people who comply and penalize those who deviate, leading both men and women to develop specific skills and personality ( Friedman and Downey, 2002 ; Eagly and Wood, 2012 ). Consequently, gender differences in basic skills and personality are derived from the great effort that societies have undertaken to perpetuate gender segregation and comply with constructed gender roles ( Wood and Eagly, 2013 ). It follows that in countries where gender roles are relaxed, gender segregation and, as a result, gender differences in basic skills and personality will be smaller ( Eagly and Mitchell, 2004 ).

The gender stratification hypothesis ( Baker and Jones, 1993 ) is consistent with the theory presented above. Although originally formulated to explain gender gaps in mathematics, it has also been applied in other spheres. The theory suggests that essentialist gender beliefs interact with individual goals, thereby generating gender differences. These differences emerge because men in patriarchal societies can connect their skills with career outcomes, whereas women cannot do so due to unequal opportunities ( Else-Quest et al., 2010 ). In sum, societies that exhibit more gender stratification offer fewer opportunities for women to experience and develop the same skills and personalities as men.

Drawing from expectancy-value theory ( Wigfield, 1994 ) and cognitive social learning theory ( Bussey and Bandura, 1999 ), the gender stratification hypothesis argues that people undertake a task only if they value it and expect success. Perceptions of a task’s value are shaped by socio-cultural stereotypes about characteristics assumed to be gender-essential. Thus, women, due to gender stereotypes, would not find it valuable to invest in domains perceived as “masculine” because they would not expect to succeed in them. Instead, they would prefer to develop more “feminine” skills, and this predilection generates gender variances ( Frome and Eccles, 1998 ).

The above process is ostensibly reinforced by environmental processes that highlight those behaviors that are generally linked to gender in a given cultural setting. In this context, environment relates to the social influences that could be imposed, selected, or contracted according to “levels of personal agency,” that is, the extent to which people feel they are in charge of their decisions ( Bandura and Walters, 1977 ). According to this perspective, the immediate environment provides gender-essentialist information through parents, friends, and the media. Individuals regulate their behaviors according to the social expectations conveyed by this information and, through “direct tuition,” inform others about how different behaviors are linked to gender ( Bussey and Bandura, 1999 ).

According to the above theories, gender differences derive from false essentialist beliefs that diminish opportunities for subjective growth, making differences the result of unequal social treatment ( Figure 1 ). Gender essentialism is conceived as a “powerful ideological” force that legitimates gendered choices and limits personal development ( West and Zimmerman, 1987 ). Stated otherwise, gender not only represents the lens through which people see the world, but it also constitutes the basis for categorizing individuals ( Bussey and Bandura, 1999 ). However, as the above theories emphasize, any visible variation between men and women results not from innate biological differences but from social impositions. If men and women were treated alike, gender stereotypes would fade, exposing them to similar stimuli and, consequently, eliminating gender differences in both basic skills and personality ( Baker and Jones, 1993 ; Eagly and Wood, 1999 ). Thus, gender equality is likely to be associated with reduced gender variation. As Else-Quest et al. (2010) claimed, “where there is greater gender equity, gender similarities … will be evident.” Eagly et al. (2004) argued in the same vein, maintaining that “the demise of many sex differences with increasing gender equality is a prediction of social role theory.”

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Figure 1 . Overview of social-role theories of gender differences. Gender differences are generated by essentialist beliefs that men and women are intrinsically different which are in turn influenced by social norms in tandem with the division of labor derived from gender physical specialization.

3.3. Theories predicting that gender equality is linked with wider gender differences

Drawing on gender essentialism, Charles and Bradley (2009) theorized an opposite effect—that gaps might increase with greater gender equality. They posited that, even if societies are gender equal, gender stereotypes endure because of the emphasis on individualism and self-expression in these societies. Specifically, gender equality stresses the expression of subjective preferences; however, it does not question how that preference emerges—an emergence that, Charles and Bradley (2009) ascribe to societal mechanisms influencing individuals based on their gender. These mechanisms strengthen essentialist beliefs about differences between men and women, in turn reinforcing gender-related roles ( Levanon and Grusky, 2018 ).

According to the foregoing analysis, societal systems are characterized by internal structural diversification that is conceptualized to accommodate individual “expressive choices” but functions, instead, to increase stereotypes as people act out their internalized gender identities rather than their subjective preferences ( Rawlings, 2007 ; Charles et al., 2014 ). In addition, long periods of care leave and advanced family policies, which are generally found in gender-equal countries, tend to influence horizontal gender segregation and compel women to enter into roles typically considered more gender-appropriate ( Freiberg, 2019 ), widening even further the prevailing gender gaps. Thus, even when a society becomes more gender equal, “a preponderance of gender-typical choices” and an increase in gender variances can be expected ( Charles and Bradley, 2009 ). Supporting this statement, some scholars have argued that gender stereotypes increase in more gender-equal nations ( Breda et al., 2020 ; Napp and Breda, 2022 ). Others have stated that “cultural individualism” is often the strongest predictor of gender gaps in equal societies ( Bleidorn et al., 2016 ; Kaiser, 2019 ).

Evolutionary theorists claim that differences between men and women are magnified in more gender-equal environments because privileged access to resources allows them to freely express specific gender “ambitions and desires” ( Schmitt et al., 2008 ; Stoet and Geary, 2018 ). These theorists argue that from an evolutionary perspective, the possibility that men and women evolved with identical characteristics is a “theoretical impossibility” and maintain that gender differences are derived, in part, from innate predispositions ( Vandermassen, 2011 ). Specifically, variations are expected to be visible in those domains in which the evolutionary pressure, mainly sexual selection, has influenced men and women differently ( Schmitt, 2015 ). According to this view, the interplay between “sex-linked” genes and environmental stressors is responsible for the more pronounced gender dimorphism in modern nations ( Schmitt et al., 2008 ).

In ancient hunter-gatherer societies, men and women evolved specific, intrinsic differences as a result of evolutionary adaptation ( Mealey, 2000 ). Nevertheless, environmental conditions suppressed these innate differences that have subsequently re-emerged in developed societies characterized by reduced ecological pressure stemming from favorable economic circumstances. Gender differences in sensitivity to environmental change have played a key role in explaining this re-emergence. Generally, in the animal kingdom, the larger animal between the two sexes shows sharper fluctuations in behavior when ecological settings vary. The same appears to be true among humans, where men are more influenced by environmental changes ( Teder and Tammaru, 2005 ). It follows that both men and women, but especially men, are less affected by environmental components in resource-rich countries, where they are free to follow their intrinsic characteristics ( Schmitt et al., 2017 ). Conversely, in countries that offer fewer economic opportunities, choices are constrained, and reduced gender differences might be evident ( Stoet and Geary, 2018 ).

Thus, according to the evolutionary hypothesis, increased gender variations in more gender-equal societies are mainly a product of the sexual selection that men and women have undergone during evolution together with gender differences in sensitivity to environmental changes ( Schmitt et al., 2008 ). This interplay of gender-linked genes and environmental influences is relevant for some gender variances, such as height, since men in more developed societies are reported to be more sensitive to environmental changes ( Sohn, 2015 ).

4. Basic skills and gender equality

Most studies on gender differences in basic skills have focused on the Trends in International Mathematics and Science Study (TIMMS) and the Program for International Student Assessment (PISA). TIMMS targets fourth- and eighth-grade students worldwide and reports their academic achievements every 4 years. Similarly, PISA is a triennial test of mathematics and science administered to 15-year-old adolescents in several countries. The PISA and TIMMS tests have been related to only a few gender equality indices; the most commonly used are the World Economic Forum’s Gender Gap Index (GGI) and the United Nations’ Gender Empowerment Measure (GEM). Both indicators are based on sub-indices that assess gender equality in numerous domains, such as educational attainment, political empowerment, and health.

4.1. Mathematics

As Table 1 shows, the math gender gap does not usually relate to gender equality when analyzing TIMMS data; in the PISA data, however, the findings appear to be more divergent.

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Table 1 . Correlations between mathematics gender differences (men > women) and both composite indices and specific indicators of gender equality.

Else-Quest et al. (2010) found that higher gender equality leads to slightly smaller differences between men and women in mathematics, although with variation across indices ( r  = 0.09–0.14). Similarly, Hyde and Mertz (2009) showed that more equitable index scores result in more women being among the top performers; however, their analysis used a small country sample and excluded Scandinavian nations (more on this below). Moreover, Gevrek et al. (2018) argued that moving toward gender equality predicts a reduced gender gap in mathematics in the part that cannot be explained by “observable characteristics,” that is, explained by elements that can be controlled for in statistical analyses.

However, the results appear to depend on the years that were considered in the analysis. For example, Stoet and Geary (2013 , 2015) found that only the 2003 PISA assessment was consistent with theories hypothesizing that gender equality is linked with smaller gender differences. For other years, gender-equal practices were unrelated to a mathematics gap. Additionally, the results are sensitive to the inclusion of Scandinavian and gender-segregated, Muslim countries as well as gender-equal nations in which boys considerably underperform girls ( Fryer and Levitt, 2010 ; Kane and Mertz, 2012 ; Stoet and Geary, 2015 ). However, some have raised doubts about including Muslim countries in the sample ( Kane and Mertz, 2012 ). Other scholars have proposed that the positive findings derive from a spurious correlation between the GGI and country-specific unobserved variances ( Anghel et al., 2019 ). Finally, as reported in Table 1 , Gevrek et al. (2020) recently reversed their findings, strengthening the evidence that gender equality, measured by composite indicators, is not linked to gender differences in mathematics achievement.

However, composite indices may fail to account for explicit factors influencing the mathematics gender gap while specific indicators may be more suitable for measuring how gender differences vary in relation to gender equality. As Table 1 shows, having more women in research, higher levels of female participation in economic activities, a higher ratio of women to men holding parliamentary seats, and greater educational equality seem to predict reduced gender variation ( Else-Quest et al., 2010 ; Penner and Cadwallader Olsker, 2012 ). More recently, Gevrek et al. (2020) extended their research by decomposing the mathematics gender gap into that which could be explained by “observable characteristics” and that which could not. Their finding suggests that the men-to-women ratio in tertiary education and the lower gender wage gap are not related to the explainable part of the gender gap, although they predicted a reduction in the unexplained part.

As mentioned earlier, also the findings for specific indicators depend on the year and countries considered. For instance, the results for the “women in research” indicator are unreliable because they sharply fluctuate across PISA assessments ( r  = −0.16, r  = −0.68; Reilly, 2012 ; Stoet and Geary, 2015 ). The relation is mainly driven by countries that are, on average, less gender-equal but display lower gender discrepancies, such as Latvia, Serbia, Tunisia, and Thailand, as well as non-OECD nations ( Reilly, 2012 ; Stoet and Geary, 2015 ).

Regarding “women’s economic activity,” Stoet and Geary (2015) analyzed four PISA assessments (2000, 2003, 2006, and 2009) and concluded that only the 2000 and 2003 results were consistent with theories predicting that gender equality is linked to smaller gender differences. In addition, “females in parliamentary seats” never reached statistical significance; only in the 2003 assessment did a link appear by excluding either non-OECD or Nordic countries from the sample ( Stoet and Geary, 2015 ). Further, while Penner and Cadwallader Olsker (2012) showed that countries with more women participation in the labor force tended to have higher mathematics gender differences, the gender gap was not linked to gender equality in their analysis, contrary to the predictions. In sum, only “women in research” demonstrated a significant negative relationship with the gender gap in mathematics, although the magnitude of this relationship is in doubt. Additionally, the gender equality paradox had no empirical support when analyzing mathematics abilities. Girls outperformed boys in diverse socio-cultural environments, such as Finland and Qatar, demonstrating that egalitarian attitudes do not explain gender discrepancies in this dimension ( Stoet and Geary, 2015 ). However, more gender equality had a positive effect on individuals, with both men and women increasing their mathematics scores in this context, without any specific advantages for either group ( Kane and Mertz, 2012 ).

4.2. Mathematics attitudes and anxiety

In line with the gender equality paradox, mathematics attitudes and anxiety gender gaps are higher in gender-equal countries ( Else-Quest et al., 2010 ; Stoet et al., 2016 ). Else-Quest et al. (2010) explained this phenomenon by arguing that mathematics anxiety is “a luxury, most often experienced by individuals who are not preoccupied with meeting more basic needs.” However, at the national level, both men and women tend to be less anxious about mathematics in equal societies, even though men benefit more from this lack of anxiety, enhancing gender differences as a consequence ( Stoet et al., 2016 ). Only Goldman and Penner (2016) showed contrary results to that of the above research, arguing that gender differences in mathematics attitudes remain stable, even in gender-equal countries. Recently, Marsh et al. (2021) proposed that the gender equality paradox in these dimensions is “illusory” as it vanishes when accounting for country-level academic achievements and socioeconomic status; however, further studies are needed to support their argument. According to the women’s political representation index, gender-equal nations also have wider self-efficacy and motivation gaps. By contrast, other specific indicators, such as “equality in wages” and “parity in secondary and tertiary education,” predict smaller gaps ( Else-Quest et al., 2010 ; Gevrek et al., 2020 ). Similarly, anxiety differences decline when there is equal political representation between men and women because women gain more than men in politically equal environments ( Else-Quest et al., 2010 ; Gevrek et al., 2020 ).

In conclusion, gender equality is negatively related to gender differences in mathematics attitudes when analyzing composite indices; however, specific indicators are either inversely or directly related. It appears that pursuing equal political representation counteracts the results achieved by parity in wages and education, putting the overall advantage into question. Moreover, although self-efficacy and motivational gender gaps increase as equality is achieved in political representation, parity in tertiary education and wages shows an opposite trend.

4.3. Science, reading, and overall scores

Table 2 shows the science gender gap’s mixed results for composite indicators. Analyzing the GGI, Reilly (2012) concluded that the gender gap in science achievement decreases as gender equality increases ( r  = 0.29); nevertheless, men are better represented among the top scorers. By contrast, Ireson (2017) failed to replicate any meaningful relationships. However, a recent meta-analysis reported that gender-equal societies are characterized by “a pattern of higher male achievement, while for nations with lower gender equality, we see a pattern of higher female achievement” ( Reilly et al., 2019 ).

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Table 2 . Correlations between gender differences in science, reading, and overall scores (men–women) and both composite indices and specific indicators of gender equality.

As reported in Table 2 , also the specific indicators provide mixed results. No connection with the science gender gap is established for the “relative status of women,” whereas “women in research” is linked with increased gender differences ( r  = −0.39; Reilly, 2012 ).

These studies were based on inter-group comparisons, which may not have been appropriate for analyzing the relationship in question given the small mean gender gap in science. However, analyzing intra-individual strengths could move the debate forward because these are strongly related to career choices ( Wang and Degol, 2017 ). Studies have shown that men are more likely to have higher abilities in mathematics or science than in reading, generating a “math tilt,” whereas women generate a “verbal tilt,” with differences more visible at the distribution’s right tail ( Wai et al., 2018 ). In other words, although the mean gender variation in science approaches zero, an increasing number of men as compared to women have their top skill in science as opposed to reading, whereas the opposite trend holds true for women (see below). Analyzing 67 nations, Stoet and Geary (2018) pointed out that gender variances in science (and mathematics) intra-individual strength are higher in favor of boys in gender-equal nations. This trend among men could facilitate their preference for scientific careers because they would have the highest likelihood of success and especially so in gender-equal environments ( Dekhtyar et al., 2018 ).

Regarding attitudes, “almost everywhere” girls display a lower science self-concept than boys, even when their academic skills are equal to those of their male peers ( Sikora and Pokropek, 2012 ). Supporting the gender equality paradox, research has noted that gender differences in science self-efficacy, science enjoyment, and interest tend to be larger in gender-equal nations ( Stoet and Geary, 2018 ; Liou et al., 2022 ).

Table 2 shows that studies on reading differences, although few, have substantially converged, demonstrating an increased gender gap in favor of women when there is more equality between genders. Although no correlation is found for the GGI, gender equality results in higher women representation among top-performing students ( Reilly, 2012 ). Notably, the GGI has recently been linked to an increased reading gender gap in advanced societies ( Gevrek et al., 2020 ). Analyzing specific indicators, Reilly (2012) showed that “women in research” directly relates to gender differences in reading achievement, thus predicting progressively higher variations. Gevrek et al. (2020) reached similar conclusions, arguing that the reading gender gap is wider in favor of girls in countries where there is more gender equality in the labor market. Furthermore, studies on intra-individual strengths have also been consistent, showing that girls’ tilt in reading skills is larger than that of boys in gender-equal societies ( Stoet and Geary, 2018 ).

Few studies have focused on gender differences at the aggregate skills level, and those that exist have shown mixed results (see Table 2 ). Similar to the results for mathematics ability, Stoet and Geary (2015) found a significant increase in aggregate skill differences between boys and girls in nations with higher gender equality (GGI), although only in the 2003 PISA assessment. However, excluding either Iceland or Finland from the sample significantly weakened the link, and it disappeared when considering other years ( Stoet and Geary, 2015 ; Ireson, 2017 ). Recently, inspired by research on gender differences in gray and white matter, Stoet and Geary (2020) argued that the basic skills pattern should be considered as a whole to understand the full magnitude of gender variation. Assessing the overall pattern in mathematics, science, and reading performance, it appears that the gap is greater than previously measured, corresponding to a large statistical difference, and it widens in more gender-equal environments.

Some researchers have proposed that egalitarian values, have a “more pervasive influence” and might offer a better understanding of the topic ( Eriksson et al., 2020 ). An examination of these values suggests that “one standard deviation higher in gender equal values is on average 5.2 points more beneficial for boys” ( Eriksson et al., 2020 ). This observation holds true for the GGI.

Contrary to theories predicting that gender equality is linked with smaller gender differences, “male/female enrollment in tertiary education” is inversely related to gender differences in overall achievement in countries with gender-neutral enrollment rates that also have more men among the top performers ( r  = 0.19; Bergold et al., 2017 ). Conversely, “women’s labor market participation,” “women’s share of research positions,” and “the ratio of women to men with at least a secondary education” have medium-size negative correlations (from r  = 0.33–0.42), which may account for 28.7% of the gender variation ( Bergold et al., 2017 ).

In sum, few studies have examined the link between gender equality and gender differences in science, reading, and overall scores, making it difficult to draw any firm conclusions. The findings for science and overall scores are contradictory, while for reading, there is substantial agreement about there being a gender equality paradox favoring women. Furthermore, due to their interrelatedness, a communal pattern between these skills emerges when examining intra-individual strengths. This pattern is characterized by increasingly wider science/mathematics and reading tilts for boys and girls, respectively. The tilt for girls shows that when girls have a science or mathematics score similar to boys, they tend to have better grades in reading, a trend that is especially observed in gender-equal nations ( Stoet and Geary, 2018 ). However, scholars have only recently begun to consider intra-individual strengths, which represent a great opportunity for future studies on gender segregation.

5. Personality and gender equality

5.1. the big five and the hexaco model.

Evidence supporting a paradox emerged as early as 2001 when Costa et al. (2001) concluded that men’s and women’s personalities differ more in gender-equal countries. Schmitt et al. (2008) replicated these findings across 55 nations, again suggesting a positive correlation between gender differences and gender equality. More recently, larger gender differences in agreeableness favoring women have been found in gender-equal nations (see Table 3 ), mainly because of lower agreeableness in men in these nations with gender being the strongest predictor of individual levels ( Lippa, 2010b ). Conversely, the gender gap in neuroticism (women > men) has not been found to be affected by gender equality, even though the UN’s gender development and empowerment index predicts a decrease in negative emotions in both men and women ( Lippa, 2010b ).

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Table 3 . Correlations between gender differences in personality (men–women) and composite indices of gender equality.

While these findings are illuminating, looking only at single dimensions may lead to counterintuitive results because personality is multifaceted ( Vianello et al., 2013 ). Although the average gender gap for a given personality trait is small, the overall variance is conventionally regarded as large, implying a significant difference between men and women ( Del Giudice, 2009 ). Based on the latter premise, Mac Giolla and Kajonius (2019) noted a strong relationship between gender personality differences and gender equality, with overall differences being broader in “gender-friendly” countries ( r  = 0.69). Other studies have supported these results, observing the same widening pattern ( Kaiser, 2019 ). Similarly, the emotionality gap from the HEXACO model displays a direct relationship with the GGI ( r  = 0.56), with women having an increasingly higher level than men in more gender-equal countries. However, honesty–humility fails to display any association with gender equality ( Lee and Ashton, 2020 ).

Further evidence for a gender equality paradox in personality emerges from the study by Falk and Hermle (2018) that, building upon the above personality models, related gender differences in economic preferences – positive reciprocity, patience, altruism, trust, risk-taking (higher in women), and negative reciprocity (higher in men) – to gender equality measures. They concluded that the differences are characterized by sharp increases in more gender-equal countries ( r  = 0.67).

5.2. Basic human values and vocational interests

Basic human values (see Table 3 ) of power, achievement and stimulation are generally considered more important for men, whereas benevolence and universalism are valued among women. Past research has found that these gender differences are broader when men and women are treated equally, even though both genders regard masculine values to be less significant ( Schwartz and Rubel-Lifschitz, 2009 ). More recently, Fors Connolly et al. (2020) extended the research on human values by adding a temporal dimension. Their analysis replicated the results cross-nationally, although temporal examination displayed a convergence between men and women in benevolence (over time, Cohen’s d −15%), with universalism and stimulation gaps remaining constant ( Fors Connolly et al., 2020 ). However, as the authors noted, this convergence resulted from factors not linked to gender equality, indicating that the correlation might be spurious and caused by confounding factors related to both gender equality and personality. This additional finding suggests that gender equality could not cause gender differences in values and that the gender equality paradox needs further exploration.

For vocational interests, few studies have examined how gender differences change with gender equality. Using the Brinkman Model of Interests, one study found that ‘gender differences in musical and persuasive interests decreased in countries with high gender egalitarianism; nevertheless, clerical and scientific interests were higher when gender egalitarianism was high’ ( Ott-Holland et al., 2013 ). However, most differences did not show any variance. More recently Tao et al. (2022) offered a more comprehensive overview highlighting that across all dimensions of vocational interest analyzed, increased gender equality was associated with wider gender differences. As Table 3 shows, gender personality differences generally increase in gender-equal countries. This finding is consistent across models and it appears to be valid also for dimensions not analyzed in this review (see Discussion for a more in-depth analysis).

6. Discussion

The systematic narrative literature review investigated recent studies on gender differences in basic skills and personality to determine whether cross-national relationships can be found with gender equality. The goal was to assess whether theories predicting that gender equality is linked with smaller gender differences have empirical support or whether a gender equality paradox has emerged in recent years. The general trend considers gender equality as either being connected to an increase in gender variations or having no relation with them, with a gender equality paradox occurring for gender gaps in some cognitive domains (attitudes toward mathematics, mathematics self-efficacy, mathematics anxiety, and reading) and personality.

6.1. Summary of the review

Based on the foregoing literature review, it can be seen that research supporting reduced gender differences in more gender-equal countries is scarce and inconsistent. A negative correlation is generally detected when analyzing gender differences in mathematics skills utilizing PISA data, although the correlation is influenced by either the year considered in the study or the sample country (see below). Moreover, “women in research” is the only specific indicator consistently negatively linked to the mathematics gender gap, albeit with disagreement about the strength of the association. Lastly, no connection between gender differences in mathematics and gender equality indicators is found when analyzing the TIMMS assessment. However, many studies have focused solely on mean differences in mathematics abilities, which are small or non-existent. Only Bergold et al. (2017) and Hyde and Mertz (2009) assessed the right tail of the distribution, where gender differences are more pronounced. This lack of studies on top performers highlights a gap in the research that needs to be filled. Also important is analyzing intra-individual strengths when studying the mathematics gender gap, as Stoet and Geary (2018) have emphasized.

Research supporting a positive link between gender variances and gender equality measures appears to be more robust and consistent. The literature on mathematics attitudes and anxiety shows that composite indicators predict a widening gender gap as equality between men and women advances. In addition, scholars agree that gender equality is connected with a larger advantage for women in reading and evidence further shows that gender personality differences are larger in more gender-equal nations. Men and women are less alike, especially in personality traits and basic human values, in countries that have invested the most in gender equality. Further support for a gender equality paradox in personality also emerges when examining other personality domains not included in this review. For example, wider gender gaps in self-esteem and narcissism (higher in men) exist in more gender-equal nations where women have more reproductive control, more executive positions, and their education is either similar to or higher than that of men ( Bleidorn et al., 2016 ; Jonason et al., 2020 ).

Specific indicators are either directly or inversely related to the mathematics gender gap, raising doubt about them being related to a general advantage ( Table 4 ). In addition, findings on science and overall scores are uncertain, even though both science anxiety and science intra-individual strengths follow a trend opposite to that anticipated by theories predicting a link between gender equality and smaller gender differences. Interestingly, other skills, such as episodic memory and visuospatial ability, show the same widening tendency, strengthening the case for a possible paradox in this area ( Lippa et al., 2010 ; Asperholm et al., 2019 ).

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Table 4 . Summary of the papers included in the review.

6.2. Implications of the gender equality paradox

Understanding the possible reasons for the increase in gender differences in countries that promote gender equality is important and relevant since these countries may be leading men and women toward gendered trajectories, a path that is already observable in higher education. Charles and Bradley (2009) noted that the most advanced societies demonstrate more pronounced gender segregation in education. Stoet and Geary (2018) also observed that more gender-equal nations (measured by the GGI) have the widest gender gap among STEM graduates. Supporting these results, research has shown that gender differences using “interest in math careers” as a predictor of future major subjects are greater in countries with higher gender equality, with both men and women being, on average, less interested in mathematics than those in other countries ( Goldman and Penner, 2016 ; Charles, 2017 ; Breda et al., 2020 ). The same pattern is observed in the job market, where horizontal segregation is more pronounced in more gender-equal environments ( Blackburn and Jarman, 2006 ; Wong and Charles, 2020 ). Several investigations have documented this phenomenon and concluded that “Scandinavian countries are notable for their exceptionally high degrees of segregation” despite their advancement in gender equality ( Jarman et al., 2012 ). However, more recent findings have also detected desegregation patterns in more gender-equal nations ( Hustad et al., 2020 ).

6.3. The gender equality paradox: Possible explanations

The question of why gender differences are sometimes higher in more gender-equal countries remains. Some have proposed that the paradox in mathematics anxiety and attitudes might originate from the better economic conditions needed for these emotions to emerge. In countries where women are highly oppressed, these are more concerned about meeting more basic needs. Conversely, where economic, political, and educational circumstances are more favorable for women, anxiety toward mathematics activities is more likely to emerge ( Else-Quest et al., 2010 ). However, at the national level, both men and women are less anxious about mathematics in developed, gender-equal countries, indicating that alternative explanations are needed ( Stoet et al., 2016 ). In fact, others have suggested that, in gender-equal nations, men and women set aside financial drives and follow more intrinsic career interests because of easier access to economic resources. Hence, women are less exposed than men to STEM activities, “giving them less opportunity to reduce their negative feelings about mathematics” ( Stoet et al., 2016 ).

With respect to reading abilities, the paradox might result from the interaction of two factors: the interrelation between basic skills and Western societies’ strong efforts to equalize boys’ and girls’ mathematics performance that has instead, paradoxically, increased reading skills in girls. Notably, where mathematics gender differences are reduced, the reduction is mainly due to an improvement in women’s reading ( Guiso et al., 2008 ). It follows that countries with smaller mathematics gender differences have the largest reading gaps ( Stoet and Geary, 2013 ). As mathematics is promoted in girls, their reading skills appear to benefit. However, because boys’ disadvantage in reading is, on average, less of a concern among policymakers, gender variations in this dimension have widened.

Some researchers have explained the gender equality paradox in personality by arguing that only differences in self-reported domains are increased ( Eagly and Wood, 2012 ). Here, the reference-group effect ( Heine et al., 2002 ) might conceal variances in less gender-equal countries, where men and women compare themselves with others of their own gender ( Guimond et al., 2007 ). If this explanation holds true, the gap in gender-equal nations would be a better estimate of personality differences between the genders because in these nations both women and men have a more accurate comparative term that includes the whole population rather than just a subset ( Schmitt et al., 2017 ).

Another explanation may be that personality is strongly culturally influenced. According to this view, individualism and self-expressive values act in tandem with gender stereotypes, promoting gender variance as individuals act out their “gendered self” ( Charles and Bradley, 2009 ; Breda et al., 2020 ). This explanation of the gender equality paradox corresponds to the findings in gender-equal nations that cultural mechanisms are at play accommodating women-typical roles, such as job flexibility and high parental care—roles that encourage women to embark on gendered paths and experience more communal traits ( Levanon and Grusky, 2018 ). Thus, it should not be surprising that, in gender-equal countries, men and women appear to differ more than in non-gender-equal countries and that this difference is expanding as women-typical roles are becoming more prevalent. Rather than expressing intrinsic gender differences, in these nations, there is a reinforcement of gender essentialist beliefs, which constitute an artifact of social expectations about how men and women should comply with gender stereotypes ( England, 2010 ).

While this argument is somewhat persuasive, research aiming at linking gender stereotypes with gender equality suffers from several theoretical and methodological limitations. Often scholars apply broad assumptions and rely on a limited, as well as unreliable, set of items to capture latent dimensions of implicit stereotypes hidden in survey data. For instance, in their recent article Napp and Breda (2022) used solely one item to grasp an alleged stereotype that girls lack talent by arguing that systematic gender difference in answering the question would highlight “the magnitude of the (internalized) stereotype associating talent with boys rather than girls.” In addition, several studies have argued that stereotypes about group features, when measured reliably, appear to be accurate ( Jussim et al., 2015 ; Moè et al., 2021 ). Löckenhoff et al. (2014) observed that perceived gender differences in personality substantially match those found in self- and observer-rated personality tests. The authors concluded that gender stereotypes constitute “valid social judgments about the size and direction of sex differences” that are more relevant than socialization processes and ascribed cultural gender roles ( Löckenhoff et al., 2014 ). This is not to say that culture plays no role in the emergence of gender differences, but that the social mechanisms amplifying gender variances—mechanisms that social-role theorists have identified—also capture intrinsic gender differences.

Evolutionary theorists propose a different explanation for the gender equality paradox. As they argue, some gender variations are sensitive to context-related fluctuations, demonstrating a gene–environment interplay. In societies in which conditions are favorable, gender-specific genes flourish due to a lower prevalence of diseases, lower ecological stressors, and lower starvation rates. Per this view, wider gender gaps in gender-equal nations most likely “reflect a more general biological trend toward greater dimorphism in resource-rich environments” ( Schmitt et al., 2008 ). If this explanation holds true, then heritability estimates will be higher in developed societies than in less-advanced cultures. Some evidence in this direction has recently emerged ( Selita and Kovas, 2019 ); however, the “WEIRD” gene problem—that nearly all twin studies have been conducted among Western, educated, industrialized, rich, and democratic societies—represents an obstacle for generalizing results and making inferences about cross-cultural heritability differences ( Henrich et al., 2010 ).

6.4. A novel socio-cultural evolutionary account of the gender equality paradox in personality

The present review proposes that the evolutionary explanation for the gender equality paradox might be more complex than it appears due to the presence of socio-cultural elements in the evolutionary process. As previously noted, genetic effects depend on the environmental conditions (diseases and ecological stress) under which they occur, yet the environment is embedded into society. Thus, the gene–environment interplay is enclosed within a cultural context with specific social norms and, by itself, cannot encompass all involved elements ( Figure 2 ). Stated otherwise, the gene–environment interplay is a function of culture ( Uchiyama et al., 2022 ). Therefore, gender-specific genes can be expected to be emphasized in societies embracing cultural values that would favor the expression of these genes. Consider, for example, individualism and self-expression. It is unsurprising that these values are related to the gender equality paradox, as Charles and Bradley (2009) have highlighted. In resource-rich environments that also value individualism and self-expression, intrinsic gender differences are more likely to emerge. This thesis points toward interpretation of Kaiser (2019) , which states that both cultural individualism and pathogen levels confound the gender equality paradox in personality (see below). Also, Murphy et al. (2021) reached similar conclusions. A coherent, yet opposite, prediction might see gender differences as remaining stable or even decreasing in those resource-rich environments that culturally constrain self-expression. Accordingly, favorable cultural values would trump social mechanisms that amplify gender-based genes to emerge via a feedback-loop effect or “reciprocal causation” ( Dickens and Flynn, 2001 ) according to which social structures adjust to distinct gender traits and vice versa, thus increasing gender differences.

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Figure 2 . Socio-cultural evolutionary explanation of the gender equality paradox. The gears show the interrelations between gender-specific genes, social structures, and environmental components mediated by cultural values.

6.5. Challenges for future cross-national research

While searching and analyzing the literature, this review also highlighted some challenges that researchers might face when conducting cross-national studies relating gender differences to gender equality measures. For mathematics ability, results could depend on outlier countries such as Scandinavian and gender-segregated, Muslim countries. In addition, the restricted country samples in international student assessments might be problematic. Despite the strong effort of PISA and TIMMS to be more inclusive, wealthy countries have traditionally been overrepresented, although the latest rounds have had very high coverage, including over 75 participating nations worldwide. Nevertheless, researchers, when assessing gender differences in mathematics abilities, should pay close attention to the countries included in their study because either the inclusion of outliers or a lack of heterogeneity might lead to biased estimations.

Another possible source of bias in research linking gender differences to gender equality on a cultural level is participant sample sizes, with some nations being overrepresented in comparison to others. How countries are clustered may also be problematic since countries are not independent data points and, “as such, they are like members of the same family or pupils of the same classroom” ( Kuppens and Pollet, 2015 ). Therefore, appropriate statistical methods, multilevel modeling, for example, should be utilized to account for both unbalanced sample sizes and data structure.

Correlations between mathematics gender differences and gender equality might originate from a lack of country-level effects in the models. Anghel et al. (2019) argued that when time-invariant country unobserved heterogeneity is controlled for, no association between the two variables is found. Moreover, the link between gender equality and the gender gap in mathematics attitudes might be confounded by country-level academic achievements and socioeconomic status ( Marsh et al., 2021 ).

Further, the gender equality paradox could be due to measurement error. Given that many international assessments and personality models have been developed in WEIRD countries, it is plausible that measurement error could be higher in non-WEIRD nations generating an illusory gender equality paradox. However, international assessments have been constructed to prevent such bias. For instance, PISA computes each student’s score based on a set of 5/10 plausible values designed to prevent measurement error and simplify secondary data analysis ( Marsh et al., 2021 ). Also, the gender equality paradox in personality appears to hold even after correcting for measurement error ( Kaiser, 2019 ; Fors Connolly et al., 2020 ; Tao et al., 2022 ). Nevertheless, when analyzing the link between gender differences in personality and gender equality, statistical procedures that control for measurement error should be applied (see for example Schmidt and Hunter, 2015 ).

Fors Connolly et al. (2020) highlighted the need for more temporal analyses of personality because an observed cross-national pattern may result from “a spurious relationship between gender equality and differences in personality” due to different country-level elements. Kaiser (2019) identified these elements as cultural individualism, food consumption, and historical pathogen prevalence levels. Other research has also agreed that cultural individualism could be a possible confounding factor as gender differences in personality are more pronounced in nations that highly regard individual self-expression ( Costa et al., 2001 ; Schmitt et al., 2008 ; Tao et al., 2022 ).

Some scholars have called attention to the misuse of composite indicators of gender equality, raising several concerns thereof and arguing that they might not be suitable for empirical research ( Else-Quest et al., 2010 ; Hyde, 2012 ). One concern is that these indicators, which encompass various domains from politics to economics, do not measure opportunities ( Richardson et al., 2020 ). Another concern is that they are not interchangeable since they are differentially constructed. Thus, comparisons between research relying on different measures of gender equality might not be suitable. Some of the disparate findings concerning math ability might be driven by computational differences in the indices included in the analysis. Nevertheless, the gender equality composite indicators most commonly utilized (GGI, GEI, and GEM) show very high correlation coefficients ( r  ≥ 0.84), while other indicators substantially relate to one another, suggesting that, although some differences occur, these indices are similar in their ability to capture the general dimension of gender equality ( Else-Quest et al., 2010 ; van Staveren, 2013 ; Stoet and Geary, 2015 ). Lastly, composite indicators may present a biased view of society due to the way gender equality is understood in the models. Often, disadvantages pertaining mostly to men are not taken into account when computing the indicators ( Benatar, 2012 ). As an example of this bias, the GGI from the World Economic Forum assumes perfect gender equality in areas where women have an advantage over men. Specifically, values higher than 1, which would assume a men’s disadvantage, in each sub-index are capped. Thus, a more simplified approach to measuring national gender inequality is preferred ( Stoet and Geary, 2019 ).

In addition, methodological issues also arise when using these indices. Some scholars have pointed out that correlations between gender gaps and the indices of gender equality could be driven by the strong economic component in these indices ( Fors Connolly et al., 2020 ). Therefore, it is important to control for appropriate economic indicators, such as GDP per capita and the Human Development Index, when linking gender differences with gender equality ( Kuppens and Pollet, 2015 ). Another difficulty may arise when contrasting results between composite indices and specific indicators occur. For mathematics attitudes, for instance, although composite indices suggest a gender equality paradox, specific indicators are either positively or negatively related to the gender gap. This may suggest that composite indices either capture an overall influence of gender equality or are unsuitable for evaluating gender differences. However, evaluation may lie outside the scope of models using these indices. Research linking gender differences with gender equality indicators has not tried to explain the paradox emerging from the analysis on the basis of gender equality per se ; instead, it has just highlighted a paradoxical pattern that would otherwise have remained concealed. Since no theory has been put forward that fully unravels the paradox, further studies are needed.

Theories considered in this review that predict that gender equality is linked with smaller gender differences do not offer a valid explanation of gender differences in basic skills and personality. In addition, for some dimensions, the gender equality paradox raises further questions about how gender variation emerges, which calls for a new approach. Based on these premises, this review explored both social-role and evolutionary hypotheses and suggested new insights that combine these views, while also highlighting explanatory variables that might cause bias in the results. Thus, specific research that more closely examines the explanations proposed is needed, especially studies with an interdisciplinary focus. Notably, Fors Connolly et al. (2020) highlighted the importance of cross-temporal analyses of the gender equality paradox because these may reveal a different path. Since country comparisons may be insufficient for fully grasping the evolution of the paradox, future research should include a thorough cross-temporal examination for a more comprehensive understanding.

Lastly, the gender equality paradox is an emerging phenomenon that has gained substantial scientific support across subjects ( Falk and Hermle, 2018 ; Campbell et al., 2021 ; Block et al., 2022 ; Vishkin, 2022 ). It requires attention from both the scientific community and the public because attempting to close gender gaps following traditional social-role theories and applying conventional methods, might end up exacerbating gender variations. In addition, the general pattern of increased gender differences in more gender-equal countries might inform that achieving equal opportunities does not go hand in hand with a reduction of gender gaps. Thus, policymakers should consider this trend when justifying interventions attempting to achieve equality of outcome between men and women.

Data availability statement

The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.

Author contributions

The author confirms being the sole contributor of this work and has approved it for publication.

The work was supported by the Finnish National Board for Education through a working grant.

Conflict of interest

The author declares that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

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Keywords: gender equality paradox, gender equality, gender differences, basic skills, personality

Citation: Balducci M (2023) Linking gender differences with gender equality: A systematic-narrative literature review of basic skills and personality. Front. Psychol . 14:1105234. doi: 10.3389/fpsyg.2023.1105234

Received: 22 November 2022; Accepted: 27 January 2023; Published: 16 February 2023.

Reviewed by:

Copyright © 2023 Balducci. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) . The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Marco Balducci, ✉ [email protected]

Disclaimer: All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

Role of Gender Equality in Development - a Literature Review

44 Pages Posted: 27 Dec 2005

Anne Mikkola

University of Helsinki and HECER - Department of Economics

Date Written: December 2005

This paper reviews a broad range of micro-, macroeconomic and development economics literature on the impact of gender equality on economic development and growth. Stylized facts are reported as well as the results of both empirical and theoretical research. Globally, women's roles are found to be in the midst of change. These changes may stem from technological improvement, as industrialization has made extensive home-based production obsolete and reduced the demand for children. Instead of the gendered specialization in autarkic households, contemporary specialization in the market place may have led to lower fertility and consequent shifts in women's economic roles. As historic hierarchical gender valuations appear in many different guises, adjustment to these changes pose challenges on many different levels. Overall the literature suggests that issues in gender inequality as it relates economic development fall into the categories of: values and religion, cultural restrictions and roles, legal and inheritance laws and practices, resource allocation within marriage, labor market access, education, fertility, gender specific market failures in finance, and power in decision making.

Keywords: Gender equality, development, women, segregation, discrimination, specialization, stylized facts

JEL Classification: O10, J16, J71, D63

Suggested Citation: Suggested Citation

Anne Mikkola (Contact Author)

University of helsinki and hecer - department of economics ( email ).

FIN-00014 Helsinki Finland

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UN Women, grounded in the vision of equality enshrined in the Charter of the United Nations, works for the elimination of discrimination against women and girls; the empowerment of women; and the achievement of equality between women and men as partners and beneficiaries of development, human rights, humanitarian action and peace and security .

UN Women work in Zimbabwe focuses on supporting the government and civil society in advancing gender equality and implementation of the national and international commitments on gender equality and women’s human rights.

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However, despite these efforts, significant gaps in the protection of women and girls from discrimination still exist in law and in practice. For example in Zimbabwe women’s representation in political leadership remains low, despite the gender parity provisions in the Constitution, further supported by the legislative women’s quota. UN Women conducted assessment/research in 2021 which comprehensively examined the laws of Zimbabwe and findings are that a number of legislative actions must be taken to bring the laws of Zimbabwe in conformity with its obligations under international law on gender equality. These legislative interventions are necessary across the spectrum of all sectors in Zimbabwe, including marriage and family law, the political environment, business and commercial settings, justice delivery and the education sector, as well as social, religious and cultural/customary settings and institutions.

The report furthermore, uncovers how the judiciary has played an important role in efforts to eliminate discrimination against women and girls, applying the Constitution and international human rights law to promote the principles of equality and non-discrimination. There are nevertheless situations in which judges have been unable to hand down gender responsive decisions due to existing gaps in the law.

Legislative actions by Parliament and the Executive have been tied to efforts to align the country’s laws with the 2013 Constitution. Given that there are many laws that require alignment, new laws aimed at addressing the rights of women and girls have not been given priority, hence the continued gaps in this regard. Therefore there has been call for the Government to enact a Gender Equality Law being as a legal instrument that will put in place the necessary measures to accelerate both the alignment process and enactment of new laws in order to secure the full domestication of relevant global and regional human rights norms and standards. 

It is envisaged that the gender equality law will support full implementation of gender equality provisions in the Constitution so as to defend, protect, promote and enforcing women and girls’ rights.

To address this, and in the spirit of regional and international normative frameworks above, the Ministry of Women Affairs, Small , Medium Enterprise, Zimbabwe Gender Commission (ZGC) and the United Nations Entity for Gender Equality and Women Empowerment (UN Women) has initiated a joint initiative  to reengage stakeholders towards the enactment of a gender equality law . 

Purpose: Key institutions strengthened to formulate, review, and implement laws and policies to increase women’s representation and participation in politics and decision making

Objective: c ontribute to legislative and policy reforms in accordance with the gender equality and women’s rights provisions in the Constitution, and develop an accountability mechanism for monitoring national, regional, and international gender commitments.

Proposed Activities will include:

The assignment is a joint initiative of Ministry of Women Affairs, Small , Medium Enterprise, Zimbabwe Gender Commission (ZGC) and the United Nations Entity for Gender Equality and Women Empowerment (UN Women) and Women Rights Organisations . The Consultant is expected to report to the UN Women Governance Specialist who will be the point of contact on the contract and payment issues.

Application instruction:

Apply online through this website and submit following documents:

Duties and Responsibilities

Deliverables

Assessment workplan and timeframe, literature review discussion paper

4 days

4,000     

13.3 %

 

4 days

4,000

13.3%

1 day

1,000

3%

4 days

4,000

13.3%

6 days

6,000

20%

 

1 days

 

1,000

3%

9 days

9,000

30%

1 day

1, 000

3%

Total

30 days

30,000 USD  

100%

Consultant’s Workplace and Official Travel

The assignment is home-based. As part of this assignment, there will be local travel expected of the consultant. UN Women will cover travel and accommodation costs beyond commuting distance from the consultant’s usual place of residence for UN Women authorized travel as per the UN Women standard travel guidelines.

Competencies

Core Values: 

Core Competencies: 

FUNCTIONAL COMPETENCIES: 

Required Skills and Experience

 

• Master’s degree or equivalent in  Social Sciences,  Law or a related field is required.

• A first-level university degree in combination with two additional years of qualifying experience may be accepted in lieu of the advanced university degree.

• A [project/programme management] certification would be an added advantage.

 

 

IMAGES

  1. (PDF) GENDER INEQUALITY REPRESENTED IN ENGLISH TEXTBOOKS: A LITERATURE REVIEW

    literature review for gender equality

  2. Essay On Gender Issues

    literature review for gender equality

  3. Gender Equality in Education

    literature review for gender equality

  4. Literature Review: Title IX Issue of Gender Equality Essay Example

    literature review for gender equality

  5. Gender equality and women's empowerment in cooperatives: A literature review

    literature review for gender equality

  6. Gender and Equality Thesis Example

    literature review for gender equality

COMMENTS

  1. Twenty years of gender equality research: A scoping review based on a

    Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a comprehensive and clear picture of what has been studied so far, which ...

  2. Linking gender differences with gender equality: A systematic-narrative

    The systematic narrative literature review investigated recent studies on gender differences in basic skills and personality to determine whether cross-national relationships can be found with gender equality. ... Theories considered in this review that predict that gender equality is linked with smaller gender differences do not offer a valid ...

  3. Promoting Gender Equality: A Systematic Review of Interventions

    The Global Gender Gap Index 2022 benchmarks 146 countries on the evolution of gender-based gaps in economic participation and opportunity, educational attainment, health and survival, and political empowerment (World Economic Forum, 2022).Although the Index measures gender parity (defined in Table 1) rather than substantive equality, it is a useful tool for analysing progression and regression.

  4. A systematic review of peer-reviewed gender literature in

    Our systematic literature review was based on a quantitative bibliometric content analysis of the available literature. We thus created a broad overview of the state of the literature, with a particular focus on the key interests named in the introduction. ... Gender equality is thus highlighted as one of the most important tasks in sustainable ...

  5. Gender equality in science, medicine, and global health: where are we

    The purpose of this Review is to provide evidence for why gender equality in science, medicine, and global health matters for health and health-related outcomes. We present a high-level synthesis of global gender data, summarise progress towards gender equality in science, medicine, and global health, review the evidence for why gender equality in these fields matters in terms of health and ...

  6. A Systematic Review and New Analyses of the Gender-Equality Paradox

    Some studies show that living conditions, such as economy, gender equality, and education, are associated with the magnitude of psychological sex differences. ... Our primary aim in this study was to review and systematize previous literature that examined the association between living conditions and psychological sex differences (old analyses ...

  7. Gender and rural transformation: A systematic literature review

    Here, we conduct a systematic literature review to investigate the impacts of rural transformation on gender and the influence of gender inclusiveness on rural transformation. We reviewed 82 studies from 1960-2021 that explore the relationships between rural transformation and gender. We then developed a framework that captures incidences and ...

  8. Gender equality and comparative HRM: A 40-year review

    The socioeconomic perspective explains gender representation in the organizational structure. Guided by comparative human resource management (HRM) research, we review and critically assess the literature on gender equality in work settings. To this end, we consider quantitative articles published between 1980 and 2021.

  9. Understanding Gender and Organizations: A Literature Review

    Gender equality, defined by the modern welfare states, is trying to provide equal opportunities for men and women in private as well as public sphere. The fight for gender-equality has been largely associated with feminism. Feminism in fact has been defined as a cluster of contesting views on the gender problematic (Arneil, 1999; Verloo, 2016 ...

  10. Gender stereotypes change outcomes: a systematic literature review

    The article selection criteria were executed using the PRISMA article selection flowchart steps, and 15 articles were included for the review.,The findings reveal that the outcomes from gender stereotype change research can be categorized mainly under the themes of "family and children," "marriage" and "equality and women's employment ...

  11. Nordic research on gender equality in academic careers: a literature review

    We provide an integrative review of research on gender and academic careers conducted in the Nordic countries from 2003-2018. We investigate the nature and content of contemporary Nordic research and critically examine the methodological and theoretical approaches authors have used. We read, categorised, and analysed 74 articles retrieved ...

  12. Linking gender differences with gender equality: A systematic

    This review examines literature correlating, on a national level, gender differences in basic skills-mathematics, science (inclu … There is controversy regarding whether gender differences are smaller or larger in societies that promote gender equality highlighting the need for an integrated analysis.

  13. Gender Equality and Women's Empowerment: Feminist Mobilization for the

    At first glance, it appears that SDG5 (Achieve gender equality and empower all women and girls) shares one of MDG3's main limitations, namely, the lack of explicit affirmation of women's human rights in the goal itself. Differently from MDG3, however, human rights did find their way into SDG5's targets, both explicitly as in target 5.6 and 5.a ...

  14. Gender equality and women's empowerment: A bibliometric review of the

    Existing review studies on gender diversity have focused heavily on gender diversity on corporate boards (for a review, see Baker et al., 2020, Khatib et al., 2021, Mumu et al., 2022). SDG 5 recognises that gender equality is not only a fundamental human right but also essential for building inclusive societies, promoting economic growth and ...

  15. Gender Equality for Whom? The Changing College Education Gradients of

    Introduction. Since the 1960s, US women's workforce participation has doubled among married women and tripled among mothers of young children (Goldin 2014).The gender gap has narrowed across several life domains, such as housework, childcare, and most notably education, in which women have overtaken men across all education levels (Bianchi et al. 2012; DiPrete and Buchmann 2013; Sullivan 2013).

  16. PDF Role of Gender Equality in Development

    paper proceeds to review the literature on gender equality mostly focusing on women, it is useful to keep in mind the issues where gender biases show destructively in men's lives. At the level of macroeconomics, it has been quite difficult to show effects of the status of women on aggregate growth for econometric reasons among others.

  17. Twenty years of gender equality research: A scoping review based on a

    Abstract. Gender equality is a major problem that places women at a disadvantage thereby stymieing economic growth and societal advancement. In the last two decades, extensive research has been conducted on gender related issues, studying both their antecedents and consequences. However, existing literature reviews fail to provide a ...

  18. Social Protection and its Effects on Gender Equality: A literature review

    This paper provides an overview of the latest evidence on the effects of social protection on gender equality. It starts by considering how risks and vulnerabilities are gendered, and the implications of their gendered nature for boys' and girls', and men's and women's well-being throughout the life course.

  19. Twenty years of gender equality research: A scoping review based on a

    In this study, we analyze 22 years of literature on gender-related research. Following estab-lished practice for scoping reviews [42], our data collection consisted of two main steps, which we summarize here below. Firstly, we retrieved from the Scopus database all the articles written in English that con-Twenty years of gender equality research: A

  20. PDF Female Entrepreneurship and Gender Equality: Literature Review

    An earlier study by Baughn et al. (2006) concludes that, overall, "gender equality itself does not predict the proportion of female entrepreneurs". Sajjad et al. (2020) recently studied the contribution of women entrepreneurs, investigating this relationship by measuring women entrepreneurship and economic development at the global level.

  21. Frontiers

    The systematic narrative literature review investigated recent studies on gender differences in basic skills and personality to determine whether cross-national relationships can be found with gender equality. ... Theories considered in this review that predict that gender equality is linked with smaller gender differences do not offer a valid ...

  22. (Pdf) Feminism: Equality Gender in Literature

    509. FEMINISM: EQUALITY GENDER IN LITERA TURE. Mila Arizah. English Education Study Program. Faculty of Teacher Training and Education, Baturaja University. E-mail: [email protected] ...

  23. Role of Gender Equality in Development

    Abstract. This paper reviews a broad range of micro-, macroeconomic and development economics literature on the impact of gender equality on economic development and growth. Stylized facts are reported as well as the results of both empirical and theoretical research. Globally, women's roles are found to be in the midst of change.

  24. (PDF) The Literature Review of Gender Discriminations in Schools

    1. INTRODUCTION. Gender discrimination refers to the unequal treatment. of members of one gender against members of another. one. From a sociological point of view, gender. discrimination means ...

  25. National Consultant- Gender Equality, legal and policy

    It is envisaged that the gender equality law will support full implementation of gender equality provisions in the Constitution so as to defend, protect, promote and enforcing women and girls' rights. ... literature review discussion paper ... Validation meeting with stakeholders; 1 day. 1,000. 3%. Review, update, simplify and summarize UN ...